--- EXPERIMENT NOTES
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken.
#
### General parameters ###
#
# The maximum number of sequences to use for the master file
sequence_limit=90
# The random seed
random_seed=3976763
#
### Alignment ###
#
# The alignment method: clustalw, muscle, kalign, t_coffee, or amap
align_method=muscle
# Minimum support value for amino acid positions in the alignment
tcoffee_min_score=3
#
### MrBayes ###
#
# Number of iterations in MrBayes
mrbayes_generations=1000000
# MrBayes burnin
mrbayes_burnin=2500
#
### FUBAR ###
#
# The maximum number of sequences to be used by FUBAR.
fubar_sequence_limit=90
# The number of FUBAR runs
fubar_runs=1
#
### codeML ###
#
# The maximum number of sequences to be used by CodeML
codeml_sequence_limit=30
# The number of CodeML runs
codeml_runs=1
# The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'.
codeml_models=1 2 7 8
#
### OmegaMap ###
#
# The maximum number of sequences to use in OmegaMap
omegamap_sequence_limit=90
# The number of OmegaMap runs
omegamap_runs=1
# The number of OmegaMap iterations
omegamap_iterations=2500
--- EXPERIMENT PROPERTIES
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -1127.77 -1148.47
2 -1129.14 -1149.48
--------------------------------------
TOTAL -1128.24 -1149.10
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.050056 0.000118 0.031644 0.071166 0.048907 1145.11 1309.88 1.000
r(A<->C){all} 0.028466 0.000775 0.000009 0.084635 0.020440 372.13 375.60 1.003
r(A<->G){all} 0.206992 0.004495 0.082616 0.333887 0.201570 264.75 324.40 1.000
r(A<->T){all} 0.051137 0.001170 0.000585 0.117086 0.043708 362.11 447.20 1.001
r(C<->G){all} 0.094074 0.002611 0.012232 0.193047 0.085443 322.18 324.65 1.000
r(C<->T){all} 0.563675 0.007716 0.381205 0.724733 0.563962 316.05 330.05 1.003
r(G<->T){all} 0.055655 0.001378 0.002059 0.127808 0.048625 425.37 441.52 1.007
pi(A){all} 0.263555 0.000300 0.225584 0.294966 0.263602 897.68 917.06 1.000
pi(C){all} 0.243153 0.000263 0.214167 0.277183 0.242674 1092.60 1161.51 1.001
pi(G){all} 0.218967 0.000242 0.188479 0.249153 0.218666 1083.69 1124.08 1.000
pi(T){all} 0.274326 0.000299 0.240892 0.307644 0.274961 935.52 1018.72 1.000
alpha{1,2} 0.622052 0.704463 0.000023 2.255639 0.302602 849.29 876.49 1.000
alpha{3} 1.772951 1.339159 0.114053 4.199260 1.554415 1109.98 1150.01 1.000
pinvar{all} 0.295717 0.041180 0.000013 0.667437 0.267699 454.59 621.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -1061.886959
Model 2: PositiveSelection -1061.140499
Model 7: beta -1063.157723
Model 8: beta&w>1 -1061.140474
Model 2 vs 1 1.492920
Model 8 vs 7 4.034498
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:24 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:30:43 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/gapped_alignment/codeml,NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1--
MrBayes v3.2.6 x64
(Bayesian Analysis of Phylogeny)
Distributed under the GNU General Public License
Type "help" or "help <command>" for information
on the commands that are available.
Type "about" for authorship and general
information about the program.
Executing file "/data/mrbayes_input.nex"
UNIX line termination
Longest line length = 63
Parsing file
Expecting NEXUS formatted file
Reading data block
Allocated taxon set
Allocated matrix
Defining new matrix with 30 taxa and 651 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C10
Taxon 2 -> C11
Taxon 3 -> C13
Taxon 4 -> C14
Taxon 5 -> C15
Taxon 6 -> C16
Taxon 7 -> C17
Taxon 8 -> C2
Taxon 9 -> C21
Taxon 10 -> C22
Taxon 11 -> C23
Taxon 12 -> C27
Taxon 13 -> C3
Taxon 14 -> C31
Taxon 15 -> C36
Taxon 16 -> C37
Taxon 17 -> C38
Taxon 18 -> C39
Taxon 19 -> C4
Taxon 20 -> C44
Taxon 21 -> C47
Taxon 22 -> C48
Taxon 23 -> C51
Taxon 24 -> C52
Taxon 25 -> C53
Taxon 26 -> C56
Taxon 27 -> C58
Taxon 28 -> C59
Taxon 29 -> C7
Taxon 30 -> C8
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667939445
Setting output file names to "/data/mrbayes_input.nex.run<i>.<p|t>"
Exiting data block
Reading mrbayes block
Setting autoclose to yes
Setting nowarnings to yes
Defining charset called 'first_pos'
Defining charset called 'second_pos'
Defining charset called 'third_pos'
Defining partition called 'by_codon'
Setting by_codon as the partition, dividing characters into 3 parts.
Setting model defaults
Seed (for generating default start values) = 1416592429
Setting Nst to 6 for partition 1
Setting Nst to 6 for partition 2
Setting Nst to 6 for partition 3
Setting Rates to Invgamma for partition 1
Setting Rates to Invgamma for partition 2
Setting Rates to Invgamma for partition 3
Successfully set likelihood model parameters to all
applicable data partitions
Unlinking
Setting number of generations to 1000000
Running Markov chain
MCMC stamp = 9374270011
Seed = 901125977
Swapseed = 1667939445
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 6 unique site patterns
Division 2 has 5 unique site patterns
Division 3 has 29 unique site patterns
Initializing conditional likelihoods
Using standard SSE likelihood calculator for division 1 (single-precision)
Using standard SSE likelihood calculator for division 2 (single-precision)
Using standard SSE likelihood calculator for division 3 (single-precision)
Initializing invariable-site conditional likelihoods
Initial log likelihoods and log prior probs for run 1:
Chain 1 -- -1768.333469 -- 82.122948
Chain 2 -- -1739.107849 -- 82.122948
Chain 3 -- -1753.550135 -- 82.122948
Chain 4 -- -1756.557229 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1787.476661 -- 82.122948
Chain 2 -- -1737.232965 -- 82.122948
Chain 3 -- -1767.095279 -- 82.122948
Chain 4 -- -1790.272307 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1768.333] (-1739.108) (-1753.550) (-1756.557) * [-1787.477] (-1737.233) (-1767.095) (-1790.272)
1000 -- (-1207.195) (-1174.524) (-1179.238) [-1168.096] * [-1168.759] (-1205.701) (-1190.819) (-1276.965) -- 0:16:39
2000 -- (-1173.071) (-1162.095) [-1142.073] (-1158.181) * [-1144.577] (-1150.928) (-1155.277) (-1185.686) -- 0:08:19
3000 -- (-1150.233) (-1151.377) (-1145.018) [-1143.021] * (-1147.196) [-1140.952] (-1147.871) (-1146.237) -- 0:11:04
4000 -- (-1145.679) (-1143.610) [-1148.285] (-1146.690) * (-1143.043) [-1143.827] (-1147.496) (-1147.180) -- 0:08:18
5000 -- (-1148.867) (-1139.257) [-1136.030] (-1138.087) * (-1144.904) (-1160.066) [-1148.058] (-1148.030) -- 0:09:57
Average standard deviation of split frequencies: 0.081315
6000 -- [-1141.895] (-1136.017) (-1143.434) (-1147.876) * [-1141.825] (-1148.224) (-1153.909) (-1138.809) -- 0:08:17
7000 -- (-1156.852) (-1154.588) [-1132.873] (-1137.800) * [-1148.375] (-1152.148) (-1147.894) (-1141.909) -- 0:09:27
8000 -- (-1144.865) (-1138.983) (-1134.087) [-1130.183] * (-1151.321) (-1146.617) (-1156.350) [-1127.255] -- 0:08:16
9000 -- (-1142.758) (-1143.424) (-1137.346) [-1130.514] * (-1135.046) [-1149.297] (-1136.991) (-1133.306) -- 0:09:10
10000 -- (-1146.250) (-1152.123) [-1148.274] (-1137.842) * (-1137.374) [-1141.304] (-1144.554) (-1136.969) -- 0:08:15
Average standard deviation of split frequencies: 0.078140
11000 -- [-1133.999] (-1150.257) (-1134.082) (-1135.705) * [-1133.279] (-1139.881) (-1143.160) (-1142.451) -- 0:08:59
12000 -- (-1129.792) (-1148.649) (-1134.631) [-1138.361] * (-1137.730) (-1153.592) [-1130.432] (-1139.226) -- 0:08:14
13000 -- (-1131.681) [-1140.980] (-1139.950) (-1154.023) * (-1140.759) (-1172.570) (-1139.771) [-1144.949] -- 0:08:51
14000 -- [-1138.469] (-1154.417) (-1134.867) (-1140.922) * [-1136.933] (-1155.814) (-1146.457) (-1145.023) -- 0:08:13
15000 -- [-1137.372] (-1146.240) (-1148.734) (-1147.777) * (-1138.127) (-1164.812) [-1135.060] (-1132.555) -- 0:08:45
Average standard deviation of split frequencies: 0.057873
16000 -- (-1157.866) [-1139.389] (-1153.497) (-1149.993) * (-1163.540) (-1140.718) [-1133.173] (-1141.136) -- 0:08:12
17000 -- (-1146.962) [-1137.241] (-1155.181) (-1152.143) * (-1164.506) (-1148.513) (-1140.863) [-1135.849] -- 0:08:40
18000 -- (-1160.855) [-1137.917] (-1144.725) (-1133.343) * (-1144.351) (-1152.185) [-1132.581] (-1148.894) -- 0:08:11
19000 -- (-1138.463) [-1145.273] (-1156.489) (-1142.066) * (-1163.045) (-1143.950) [-1131.385] (-1140.921) -- 0:08:36
20000 -- (-1135.279) [-1135.302] (-1141.227) (-1162.386) * (-1161.962) (-1150.794) [-1132.472] (-1140.232) -- 0:08:10
Average standard deviation of split frequencies: 0.054237
21000 -- [-1141.124] (-1145.755) (-1163.019) (-1157.899) * (-1148.374) (-1177.382) [-1139.141] (-1134.853) -- 0:08:32
22000 -- (-1146.911) [-1133.279] (-1149.917) (-1156.901) * (-1142.065) (-1181.671) (-1132.381) [-1140.328] -- 0:08:09
23000 -- (-1141.086) [-1129.960] (-1146.417) (-1157.395) * (-1160.629) (-1166.463) [-1131.751] (-1132.184) -- 0:08:29
24000 -- (-1139.664) [-1134.064] (-1154.552) (-1141.582) * (-1151.846) (-1166.019) (-1134.085) [-1140.835] -- 0:08:08
25000 -- (-1136.091) [-1133.310] (-1148.089) (-1152.469) * (-1145.180) (-1186.109) [-1135.587] (-1138.523) -- 0:08:26
Average standard deviation of split frequencies: 0.045620
26000 -- (-1150.845) [-1137.267] (-1159.237) (-1153.153) * (-1183.331) (-1208.309) [-1144.271] (-1141.597) -- 0:08:07
27000 -- [-1139.345] (-1132.617) (-1155.702) (-1160.433) * (-1166.138) (-1201.459) [-1141.474] (-1136.392) -- 0:08:24
28000 -- (-1150.858) [-1133.858] (-1165.690) (-1141.485) * (-1150.509) (-1211.494) (-1149.401) [-1138.323] -- 0:08:06
29000 -- [-1132.083] (-1137.593) (-1198.185) (-1158.857) * (-1138.994) (-1205.264) [-1134.164] (-1135.221) -- 0:08:22
30000 -- [-1133.764] (-1139.758) (-1205.358) (-1160.659) * (-1146.760) (-1204.204) [-1131.835] (-1136.398) -- 0:08:05
Average standard deviation of split frequencies: 0.042351
31000 -- (-1139.020) (-1142.382) (-1207.614) [-1137.575] * [-1133.345] (-1190.009) (-1142.917) (-1144.296) -- 0:08:20
32000 -- (-1136.767) (-1130.916) (-1191.603) [-1135.309] * (-1145.646) (-1203.365) [-1136.061] (-1133.794) -- 0:08:04
33000 -- [-1135.457] (-1141.206) (-1198.306) (-1141.325) * [-1139.468] (-1200.811) (-1156.900) (-1142.359) -- 0:08:18
34000 -- [-1141.426] (-1135.598) (-1194.559) (-1151.679) * [-1134.937] (-1216.816) (-1143.549) (-1148.856) -- 0:08:03
35000 -- (-1139.903) [-1135.304] (-1198.402) (-1146.297) * [-1139.026] (-1207.795) (-1143.250) (-1148.858) -- 0:08:16
Average standard deviation of split frequencies: 0.032300
36000 -- (-1138.715) (-1131.841) (-1194.287) [-1138.756] * [-1134.461] (-1214.352) (-1148.031) (-1161.104) -- 0:08:02
37000 -- [-1140.955] (-1147.731) (-1204.779) (-1133.491) * [-1128.170] (-1195.358) (-1137.234) (-1144.556) -- 0:08:14
38000 -- (-1139.129) (-1142.597) (-1204.983) [-1142.841] * [-1138.084] (-1198.936) (-1137.364) (-1146.079) -- 0:08:01
39000 -- (-1135.156) (-1154.768) (-1205.283) [-1135.898] * (-1133.498) (-1208.218) [-1137.963] (-1166.488) -- 0:08:12
40000 -- [-1146.115] (-1153.473) (-1201.404) (-1130.394) * (-1139.311) (-1198.635) [-1135.003] (-1154.550) -- 0:08:00
Average standard deviation of split frequencies: 0.028690
41000 -- [-1127.216] (-1141.052) (-1200.702) (-1137.312) * (-1132.199) (-1208.967) (-1138.365) [-1134.435] -- 0:07:47
42000 -- (-1143.279) (-1147.802) (-1192.320) [-1129.055] * [-1141.583] (-1208.724) (-1146.538) (-1141.307) -- 0:07:59
43000 -- (-1131.669) (-1151.896) (-1198.955) [-1127.735] * (-1128.535) (-1203.449) (-1153.026) [-1147.853] -- 0:07:47
44000 -- (-1142.277) (-1150.423) (-1202.698) [-1135.178] * [-1136.563] (-1204.079) (-1146.685) (-1135.734) -- 0:07:58
45000 -- (-1137.495) (-1142.046) (-1203.405) [-1137.285] * (-1136.689) (-1194.520) [-1144.977] (-1155.020) -- 0:07:46
Average standard deviation of split frequencies: 0.024595
46000 -- [-1132.880] (-1146.934) (-1194.627) (-1146.256) * [-1133.712] (-1211.072) (-1168.455) (-1154.602) -- 0:07:57
47000 -- (-1147.367) (-1152.639) (-1203.747) [-1130.873] * (-1138.256) (-1205.604) [-1149.696] (-1159.941) -- 0:07:46
48000 -- (-1153.065) [-1134.375] (-1200.231) (-1148.710) * [-1138.607] (-1194.462) (-1132.540) (-1149.765) -- 0:07:56
49000 -- [-1141.152] (-1141.585) (-1206.223) (-1144.795) * (-1142.491) (-1190.201) [-1142.123] (-1146.183) -- 0:07:45
50000 -- [-1132.990] (-1146.687) (-1200.782) (-1144.384) * [-1142.048] (-1188.996) (-1138.045) (-1141.121) -- 0:07:55
Average standard deviation of split frequencies: 0.027479
51000 -- [-1135.512] (-1147.718) (-1190.678) (-1138.551) * (-1137.459) (-1187.871) [-1135.422] (-1143.022) -- 0:07:45
52000 -- [-1130.234] (-1136.389) (-1190.499) (-1157.256) * [-1138.080] (-1188.222) (-1139.380) (-1146.103) -- 0:07:54
53000 -- [-1130.894] (-1136.517) (-1199.630) (-1144.230) * (-1141.529) (-1189.578) [-1132.753] (-1155.308) -- 0:07:44
54000 -- [-1132.124] (-1136.594) (-1199.705) (-1149.898) * (-1148.089) (-1209.479) [-1135.296] (-1156.338) -- 0:07:53
55000 -- [-1132.561] (-1157.937) (-1200.114) (-1148.397) * (-1143.680) (-1197.842) [-1147.088] (-1155.605) -- 0:07:43
Average standard deviation of split frequencies: 0.024853
56000 -- [-1129.802] (-1135.015) (-1202.458) (-1152.165) * (-1150.727) (-1204.870) [-1140.330] (-1141.328) -- 0:07:52
57000 -- [-1139.941] (-1134.946) (-1203.758) (-1144.872) * (-1144.178) (-1201.344) [-1133.787] (-1163.406) -- 0:07:43
58000 -- [-1131.982] (-1152.943) (-1211.358) (-1137.138) * (-1134.736) (-1208.226) [-1135.397] (-1159.767) -- 0:07:51
59000 -- [-1130.219] (-1149.528) (-1203.836) (-1151.673) * (-1131.123) (-1202.661) [-1131.463] (-1150.472) -- 0:07:42
60000 -- (-1144.302) [-1142.893] (-1211.018) (-1145.061) * (-1138.754) (-1211.750) [-1134.892] (-1156.254) -- 0:07:50
Average standard deviation of split frequencies: 0.022340
61000 -- [-1138.988] (-1134.569) (-1207.279) (-1144.187) * (-1156.190) (-1196.839) [-1136.498] (-1148.544) -- 0:07:41
62000 -- [-1130.133] (-1147.276) (-1193.580) (-1141.452) * [-1149.627] (-1201.715) (-1136.407) (-1146.709) -- 0:07:49
63000 -- [-1132.326] (-1142.404) (-1206.370) (-1140.063) * (-1140.428) (-1209.067) [-1132.907] (-1151.100) -- 0:07:41
64000 -- (-1139.526) (-1134.951) (-1194.215) [-1144.279] * [-1135.357] (-1207.430) (-1125.993) (-1158.948) -- 0:07:48
65000 -- (-1145.843) (-1148.055) (-1208.824) [-1140.820] * (-1139.081) (-1201.132) (-1136.186) [-1128.432] -- 0:07:40
Average standard deviation of split frequencies: 0.024041
66000 -- (-1135.199) (-1134.355) (-1219.209) [-1139.802] * (-1140.548) (-1210.112) [-1134.060] (-1128.752) -- 0:07:47
67000 -- (-1141.648) [-1142.206] (-1198.210) (-1141.597) * [-1141.174] (-1197.477) (-1134.864) (-1135.013) -- 0:07:39
68000 -- (-1145.917) [-1134.311] (-1209.996) (-1146.293) * (-1154.462) (-1200.300) [-1140.956] (-1150.638) -- 0:07:46
69000 -- (-1138.129) [-1135.207] (-1195.481) (-1138.199) * (-1141.854) (-1187.019) [-1139.498] (-1149.644) -- 0:07:38
70000 -- (-1144.216) [-1127.983] (-1208.326) (-1141.212) * [-1137.261] (-1193.985) (-1148.625) (-1145.344) -- 0:07:45
Average standard deviation of split frequencies: 0.024348
71000 -- (-1142.481) [-1132.202] (-1203.753) (-1152.474) * [-1135.502] (-1205.143) (-1141.087) (-1155.326) -- 0:07:37
72000 -- (-1142.676) [-1134.024] (-1200.741) (-1167.775) * (-1136.506) (-1202.583) [-1131.384] (-1157.397) -- 0:07:44
73000 -- [-1140.777] (-1147.103) (-1192.050) (-1155.225) * (-1146.700) (-1208.159) [-1139.130] (-1145.336) -- 0:07:37
74000 -- (-1134.298) [-1133.367] (-1204.381) (-1149.700) * (-1142.845) (-1208.541) [-1136.102] (-1140.744) -- 0:07:43
75000 -- [-1130.357] (-1146.234) (-1205.471) (-1134.424) * (-1132.189) (-1198.535) [-1138.576] (-1144.310) -- 0:07:36
Average standard deviation of split frequencies: 0.023831
76000 -- (-1134.750) [-1136.088] (-1194.493) (-1150.042) * (-1148.708) (-1200.258) [-1133.320] (-1130.203) -- 0:07:42
77000 -- (-1137.914) [-1134.665] (-1193.533) (-1153.882) * (-1133.740) (-1199.818) (-1135.184) [-1136.549] -- 0:07:35
78000 -- (-1132.466) [-1131.572] (-1200.992) (-1150.935) * (-1147.377) (-1209.758) (-1153.241) [-1142.642] -- 0:07:41
79000 -- [-1138.692] (-1133.860) (-1209.724) (-1141.459) * (-1139.939) (-1203.997) (-1135.355) [-1136.000] -- 0:07:34
80000 -- [-1136.438] (-1136.003) (-1210.957) (-1142.063) * (-1136.623) (-1195.888) (-1137.351) [-1136.431] -- 0:07:40
Average standard deviation of split frequencies: 0.021638
81000 -- (-1138.577) [-1128.153] (-1212.288) (-1145.765) * (-1148.718) (-1203.066) (-1133.298) [-1129.736] -- 0:07:33
82000 -- [-1132.396] (-1150.716) (-1203.363) (-1150.277) * (-1158.129) (-1198.217) (-1134.990) [-1135.638] -- 0:07:39
83000 -- [-1144.167] (-1142.563) (-1205.320) (-1153.239) * (-1134.682) (-1204.997) [-1131.096] (-1130.587) -- 0:07:32
84000 -- (-1137.633) [-1137.484] (-1197.867) (-1148.402) * (-1144.588) (-1198.753) (-1134.942) [-1127.043] -- 0:07:38
85000 -- [-1137.005] (-1129.350) (-1198.155) (-1150.153) * (-1139.821) (-1206.897) [-1131.148] (-1133.579) -- 0:07:32
Average standard deviation of split frequencies: 0.024065
86000 -- (-1151.113) [-1142.230] (-1198.290) (-1155.348) * (-1137.874) (-1206.710) (-1146.340) [-1130.663] -- 0:07:37
87000 -- (-1145.352) [-1131.227] (-1199.889) (-1147.714) * [-1143.471] (-1209.407) (-1145.906) (-1132.872) -- 0:07:31
88000 -- (-1128.790) [-1135.188] (-1197.312) (-1146.113) * [-1139.389] (-1200.833) (-1136.720) (-1152.287) -- 0:07:36
89000 -- [-1135.698] (-1135.900) (-1194.670) (-1146.610) * (-1144.493) (-1205.716) (-1134.155) [-1151.227] -- 0:07:30
90000 -- (-1129.976) [-1132.282] (-1198.585) (-1143.044) * (-1142.417) (-1197.387) (-1131.919) [-1140.711] -- 0:07:35
Average standard deviation of split frequencies: 0.024982
91000 -- (-1139.625) [-1141.138] (-1195.086) (-1135.739) * (-1142.720) (-1197.617) [-1142.568] (-1136.287) -- 0:07:29
92000 -- (-1134.831) [-1131.576] (-1209.305) (-1138.665) * [-1135.057] (-1194.341) (-1140.252) (-1148.636) -- 0:07:34
93000 -- [-1134.528] (-1134.064) (-1208.032) (-1145.833) * (-1139.068) (-1190.295) (-1130.692) [-1132.576] -- 0:07:28
94000 -- (-1141.170) [-1133.869] (-1212.491) (-1153.391) * (-1140.091) (-1196.409) [-1138.841] (-1138.286) -- 0:07:33
95000 -- [-1133.590] (-1135.098) (-1202.078) (-1154.320) * (-1139.957) (-1196.715) [-1140.198] (-1138.372) -- 0:07:27
Average standard deviation of split frequencies: 0.023355
96000 -- [-1140.261] (-1134.122) (-1198.571) (-1134.390) * (-1151.952) (-1196.036) (-1140.139) [-1129.448] -- 0:07:32
97000 -- (-1136.206) [-1136.658] (-1202.582) (-1165.949) * (-1149.618) (-1203.070) [-1138.991] (-1129.562) -- 0:07:26
98000 -- (-1140.623) [-1132.177] (-1207.106) (-1153.153) * (-1137.745) (-1197.172) [-1135.238] (-1133.920) -- 0:07:31
99000 -- (-1142.713) [-1137.508] (-1198.203) (-1146.416) * (-1165.931) (-1191.563) [-1129.166] (-1135.904) -- 0:07:25
100000 -- (-1134.838) [-1134.641] (-1199.819) (-1133.520) * (-1144.851) (-1214.161) [-1132.059] (-1137.415) -- 0:07:21
Average standard deviation of split frequencies: 0.024375
101000 -- (-1141.476) [-1131.660] (-1202.697) (-1147.436) * (-1136.174) (-1204.353) [-1129.403] (-1150.926) -- 0:07:25
102000 -- (-1137.749) [-1131.713] (-1208.957) (-1139.719) * (-1142.899) (-1201.077) [-1139.244] (-1145.551) -- 0:07:20
103000 -- [-1132.455] (-1136.180) (-1210.602) (-1136.524) * (-1150.647) (-1205.016) [-1134.885] (-1140.986) -- 0:07:24
104000 -- [-1138.420] (-1139.896) (-1200.709) (-1143.269) * [-1140.339] (-1197.561) (-1136.227) (-1143.677) -- 0:07:19
105000 -- [-1132.320] (-1138.877) (-1199.873) (-1136.056) * (-1141.713) (-1200.737) [-1131.487] (-1133.100) -- 0:07:23
Average standard deviation of split frequencies: 0.024080
106000 -- (-1132.539) (-1142.814) (-1188.264) [-1141.158] * (-1133.919) (-1197.215) [-1134.883] (-1150.532) -- 0:07:18
107000 -- [-1131.922] (-1143.287) (-1206.469) (-1136.450) * (-1140.477) (-1222.615) [-1143.127] (-1137.646) -- 0:07:22
108000 -- (-1141.909) (-1138.352) (-1190.434) [-1133.020] * (-1132.871) (-1213.550) [-1136.554] (-1162.296) -- 0:07:17
109000 -- (-1139.728) (-1138.632) (-1214.253) [-1138.951] * (-1133.882) (-1196.804) [-1140.018] (-1142.187) -- 0:07:21
110000 -- (-1134.580) [-1128.551] (-1198.090) (-1141.859) * [-1130.457] (-1205.154) (-1138.628) (-1134.507) -- 0:07:16
Average standard deviation of split frequencies: 0.020883
111000 -- (-1139.820) (-1150.150) (-1215.852) [-1140.906] * [-1135.004] (-1205.581) (-1144.871) (-1145.042) -- 0:07:20
112000 -- (-1132.718) (-1141.897) (-1190.981) [-1129.208] * [-1134.162] (-1208.486) (-1134.753) (-1133.051) -- 0:07:16
113000 -- (-1154.459) (-1151.738) (-1193.932) [-1140.165] * (-1138.525) (-1204.695) [-1134.376] (-1136.090) -- 0:07:19
114000 -- (-1155.207) (-1142.634) (-1193.693) [-1133.819] * (-1145.657) (-1197.504) [-1134.988] (-1141.714) -- 0:07:15
115000 -- (-1144.459) (-1146.444) (-1204.396) [-1133.121] * (-1146.496) (-1197.712) [-1139.588] (-1140.250) -- 0:07:18
Average standard deviation of split frequencies: 0.020517
116000 -- (-1135.775) (-1148.446) (-1205.253) [-1142.708] * (-1143.166) (-1206.726) [-1139.792] (-1153.025) -- 0:07:14
117000 -- [-1143.646] (-1144.587) (-1207.552) (-1133.348) * [-1132.329] (-1207.499) (-1143.167) (-1150.663) -- 0:07:17
118000 -- (-1162.992) (-1140.897) (-1193.332) [-1137.996] * [-1138.677] (-1206.071) (-1135.932) (-1143.016) -- 0:07:13
119000 -- (-1161.618) [-1130.095] (-1206.029) (-1135.074) * [-1138.844] (-1204.323) (-1139.584) (-1144.110) -- 0:07:16
120000 -- (-1139.287) (-1140.473) (-1205.909) [-1130.646] * [-1128.906] (-1202.867) (-1138.457) (-1146.221) -- 0:07:12
Average standard deviation of split frequencies: 0.022246
121000 -- (-1139.148) (-1135.252) (-1200.671) [-1132.560] * [-1135.903] (-1202.479) (-1140.905) (-1144.385) -- 0:07:15
122000 -- (-1151.971) (-1139.648) (-1195.075) [-1147.666] * [-1134.419] (-1196.308) (-1140.978) (-1155.201) -- 0:07:11
123000 -- (-1136.573) (-1142.925) (-1200.248) [-1143.445] * [-1132.603] (-1190.280) (-1146.802) (-1154.824) -- 0:07:14
124000 -- [-1130.693] (-1147.156) (-1206.609) (-1148.829) * [-1135.674] (-1202.489) (-1161.092) (-1141.951) -- 0:07:10
125000 -- (-1138.722) (-1150.692) (-1197.526) [-1149.138] * [-1133.740] (-1196.809) (-1140.497) (-1141.158) -- 0:07:14
Average standard deviation of split frequencies: 0.022904
126000 -- (-1138.683) [-1145.660] (-1212.091) (-1144.410) * [-1140.332] (-1197.961) (-1142.544) (-1137.501) -- 0:07:10
127000 -- [-1140.075] (-1134.873) (-1204.578) (-1151.973) * [-1135.659] (-1202.134) (-1144.986) (-1148.442) -- 0:07:13
128000 -- [-1127.808] (-1132.409) (-1199.332) (-1139.979) * [-1128.643] (-1212.698) (-1137.802) (-1142.307) -- 0:07:09
129000 -- (-1136.223) [-1137.390] (-1202.889) (-1138.656) * [-1131.361] (-1200.833) (-1156.223) (-1142.000) -- 0:07:12
130000 -- [-1133.296] (-1140.123) (-1211.384) (-1160.656) * (-1141.320) (-1206.631) (-1138.134) [-1130.487] -- 0:07:08
Average standard deviation of split frequencies: 0.021361
131000 -- (-1130.136) [-1137.945] (-1207.175) (-1155.250) * [-1133.179] (-1203.694) (-1155.220) (-1139.849) -- 0:07:11
132000 -- [-1133.506] (-1139.416) (-1215.510) (-1145.381) * (-1131.079) (-1203.878) (-1164.528) [-1139.127] -- 0:07:07
133000 -- [-1143.330] (-1141.071) (-1203.064) (-1154.919) * [-1143.134] (-1211.067) (-1179.250) (-1138.895) -- 0:07:10
134000 -- (-1141.733) [-1140.688] (-1196.190) (-1139.066) * (-1136.643) (-1195.430) (-1179.924) [-1135.650] -- 0:07:06
135000 -- (-1147.005) [-1137.071] (-1193.600) (-1147.375) * [-1138.149] (-1199.973) (-1139.836) (-1146.127) -- 0:07:09
Average standard deviation of split frequencies: 0.021801
136000 -- (-1150.737) (-1139.298) (-1200.186) [-1133.444] * [-1146.794] (-1201.746) (-1151.062) (-1135.123) -- 0:07:05
137000 -- (-1132.660) [-1134.776] (-1209.938) (-1166.784) * [-1139.344] (-1196.206) (-1138.226) (-1139.492) -- 0:07:08
138000 -- (-1144.681) [-1137.237] (-1204.857) (-1151.985) * (-1142.144) (-1196.529) (-1141.760) [-1133.002] -- 0:07:04
139000 -- [-1134.340] (-1140.388) (-1194.925) (-1153.564) * (-1129.584) (-1197.432) (-1161.369) [-1132.612] -- 0:07:07
140000 -- (-1155.150) [-1133.263] (-1203.164) (-1149.025) * (-1136.932) (-1217.431) (-1148.674) [-1136.234] -- 0:07:03
Average standard deviation of split frequencies: 0.021104
141000 -- (-1153.107) [-1138.361] (-1206.188) (-1155.341) * (-1142.416) (-1197.888) (-1149.314) [-1136.648] -- 0:07:06
142000 -- [-1136.594] (-1140.269) (-1203.882) (-1141.969) * (-1141.048) (-1199.427) [-1145.932] (-1142.382) -- 0:07:02
143000 -- [-1131.098] (-1149.828) (-1203.703) (-1137.384) * [-1139.236] (-1199.985) (-1163.306) (-1143.319) -- 0:07:05
144000 -- [-1139.355] (-1148.229) (-1192.417) (-1144.800) * [-1130.361] (-1210.011) (-1149.094) (-1147.678) -- 0:07:02
145000 -- [-1129.194] (-1141.403) (-1190.367) (-1152.023) * (-1152.434) (-1201.856) (-1160.452) [-1141.913] -- 0:06:58
Average standard deviation of split frequencies: 0.022514
146000 -- [-1134.230] (-1141.534) (-1199.987) (-1138.675) * (-1151.486) (-1198.765) (-1143.859) [-1136.489] -- 0:07:01
147000 -- (-1152.106) (-1139.692) (-1214.440) [-1138.681] * (-1140.614) (-1202.192) (-1150.526) [-1132.687] -- 0:06:57
148000 -- [-1137.302] (-1130.114) (-1200.641) (-1143.864) * (-1140.735) (-1205.575) (-1154.670) [-1134.785] -- 0:07:00
149000 -- [-1128.398] (-1141.769) (-1201.791) (-1135.923) * (-1141.322) (-1204.319) (-1149.915) [-1128.428] -- 0:06:56
150000 -- [-1147.370] (-1135.036) (-1189.139) (-1142.791) * (-1139.729) (-1199.667) (-1146.751) [-1138.527] -- 0:06:59
Average standard deviation of split frequencies: 0.022663
151000 -- (-1128.841) [-1136.364] (-1192.446) (-1141.653) * (-1153.223) (-1192.843) (-1164.289) [-1142.058] -- 0:06:56
152000 -- [-1133.681] (-1142.526) (-1208.213) (-1142.093) * (-1140.000) (-1196.179) (-1163.459) [-1135.608] -- 0:06:58
153000 -- [-1130.140] (-1139.260) (-1207.732) (-1151.889) * (-1137.254) (-1204.846) (-1153.256) [-1135.949] -- 0:06:55
154000 -- (-1140.520) (-1137.983) (-1204.141) [-1127.256] * (-1128.151) (-1219.954) (-1138.705) [-1133.052] -- 0:06:57
155000 -- [-1134.127] (-1145.859) (-1210.961) (-1135.390) * (-1146.081) (-1196.654) (-1137.505) [-1136.590] -- 0:06:54
Average standard deviation of split frequencies: 0.022705
156000 -- [-1141.202] (-1145.194) (-1199.635) (-1139.206) * (-1142.972) (-1202.518) (-1138.053) [-1134.925] -- 0:06:56
157000 -- (-1137.163) [-1140.608] (-1202.522) (-1146.488) * (-1138.937) (-1198.020) [-1135.707] (-1138.527) -- 0:06:53
158000 -- [-1135.901] (-1142.126) (-1201.737) (-1137.498) * (-1149.241) (-1201.722) (-1136.277) [-1132.541] -- 0:06:55
159000 -- [-1134.034] (-1151.246) (-1201.642) (-1151.003) * [-1137.665] (-1195.050) (-1138.005) (-1156.032) -- 0:06:52
160000 -- [-1138.304] (-1151.642) (-1198.269) (-1155.387) * [-1136.712] (-1201.681) (-1150.218) (-1134.307) -- 0:06:54
Average standard deviation of split frequencies: 0.022997
161000 -- (-1158.027) [-1131.551] (-1201.215) (-1146.760) * (-1139.514) (-1194.404) (-1150.252) [-1136.687] -- 0:06:51
162000 -- (-1140.512) [-1133.314] (-1203.959) (-1164.411) * (-1146.174) (-1195.600) (-1138.694) [-1130.335] -- 0:06:53
163000 -- [-1132.677] (-1135.004) (-1191.025) (-1139.489) * (-1132.554) (-1192.526) (-1134.634) [-1134.131] -- 0:06:50
164000 -- [-1136.019] (-1134.898) (-1203.939) (-1144.475) * (-1139.874) (-1191.263) (-1161.796) [-1136.496] -- 0:06:52
165000 -- (-1142.457) [-1134.266] (-1201.146) (-1159.002) * (-1139.682) (-1202.638) (-1133.337) [-1137.566] -- 0:06:49
Average standard deviation of split frequencies: 0.021523
166000 -- [-1138.297] (-1135.201) (-1195.336) (-1177.574) * (-1142.339) (-1216.263) (-1133.677) [-1138.281] -- 0:06:51
167000 -- (-1145.023) [-1133.710] (-1204.456) (-1148.141) * (-1137.287) (-1195.251) (-1137.385) [-1136.613] -- 0:06:49
168000 -- [-1135.925] (-1132.784) (-1188.472) (-1140.809) * [-1140.497] (-1197.505) (-1141.013) (-1154.106) -- 0:06:51
169000 -- [-1141.624] (-1132.267) (-1207.757) (-1152.341) * (-1134.949) (-1201.365) [-1142.811] (-1139.010) -- 0:06:48
170000 -- (-1136.892) [-1136.121] (-1198.979) (-1145.148) * [-1132.853] (-1199.378) (-1145.350) (-1144.228) -- 0:06:50
Average standard deviation of split frequencies: 0.022242
171000 -- (-1137.050) [-1133.868] (-1215.860) (-1154.506) * (-1139.351) (-1203.030) (-1137.089) [-1132.235] -- 0:06:47
172000 -- [-1132.815] (-1137.463) (-1214.185) (-1150.286) * [-1135.647] (-1205.290) (-1153.435) (-1145.902) -- 0:06:49
173000 -- (-1140.349) [-1141.088] (-1207.391) (-1135.745) * [-1135.045] (-1200.050) (-1149.673) (-1133.067) -- 0:06:46
174000 -- (-1137.159) [-1138.069] (-1197.041) (-1148.780) * [-1134.406] (-1208.507) (-1138.400) (-1140.409) -- 0:06:48
175000 -- [-1137.313] (-1124.844) (-1205.790) (-1144.100) * (-1132.436) (-1195.021) (-1138.233) [-1129.789] -- 0:06:45
Average standard deviation of split frequencies: 0.022731
176000 -- [-1135.930] (-1138.827) (-1199.989) (-1154.974) * [-1124.136] (-1202.982) (-1134.430) (-1133.939) -- 0:06:47
177000 -- [-1138.931] (-1137.149) (-1194.160) (-1143.742) * [-1135.659] (-1201.205) (-1139.313) (-1146.635) -- 0:06:44
178000 -- [-1127.010] (-1141.223) (-1210.669) (-1139.769) * (-1139.240) (-1196.255) (-1130.685) [-1139.090] -- 0:06:46
179000 -- [-1140.020] (-1136.648) (-1205.317) (-1134.826) * (-1140.223) (-1203.295) (-1141.562) [-1135.751] -- 0:06:43
180000 -- (-1137.125) [-1139.674] (-1216.141) (-1145.606) * [-1141.438] (-1201.183) (-1137.504) (-1150.295) -- 0:06:45
Average standard deviation of split frequencies: 0.022496
181000 -- (-1149.315) (-1154.662) (-1203.453) [-1129.484] * (-1157.864) (-1208.345) (-1133.433) [-1134.352] -- 0:06:42
182000 -- [-1141.740] (-1153.733) (-1197.437) (-1142.868) * (-1153.162) (-1202.227) (-1136.221) [-1133.701] -- 0:06:44
183000 -- (-1154.141) (-1146.825) (-1204.756) [-1136.847] * (-1139.754) (-1209.785) (-1137.334) [-1135.060] -- 0:06:41
184000 -- (-1145.035) (-1150.014) (-1207.934) [-1137.370] * (-1140.632) (-1207.021) (-1140.062) [-1133.670] -- 0:06:43
185000 -- (-1148.375) [-1139.948] (-1215.666) (-1135.895) * (-1146.179) (-1211.507) (-1136.148) [-1136.123] -- 0:06:40
Average standard deviation of split frequencies: 0.021353
186000 -- [-1132.957] (-1133.462) (-1198.193) (-1150.619) * (-1146.332) (-1200.212) [-1135.514] (-1140.407) -- 0:06:42
187000 -- (-1152.844) (-1138.644) (-1200.924) [-1139.199] * (-1154.583) (-1203.099) (-1131.206) [-1130.729] -- 0:06:39
188000 -- [-1135.265] (-1138.620) (-1213.842) (-1140.331) * (-1169.447) (-1203.054) (-1136.259) [-1141.771] -- 0:06:41
189000 -- (-1137.192) [-1138.944] (-1196.461) (-1135.179) * (-1152.156) (-1204.902) (-1142.656) [-1132.645] -- 0:06:39
190000 -- [-1138.179] (-1140.812) (-1203.684) (-1133.875) * (-1141.117) (-1194.853) (-1139.795) [-1137.576] -- 0:06:40
Average standard deviation of split frequencies: 0.020583
191000 -- [-1127.000] (-1144.451) (-1206.891) (-1140.713) * (-1138.587) (-1204.208) (-1146.201) [-1139.222] -- 0:06:38
192000 -- [-1133.028] (-1136.714) (-1197.959) (-1135.459) * (-1139.133) (-1208.251) [-1131.898] (-1145.522) -- 0:06:39
193000 -- (-1137.383) (-1134.994) (-1201.125) [-1136.021] * (-1134.657) (-1199.681) (-1142.514) [-1135.936] -- 0:06:37
194000 -- (-1141.972) [-1134.091] (-1183.909) (-1136.200) * (-1150.028) (-1209.985) (-1133.696) [-1133.155] -- 0:06:38
195000 -- (-1141.626) [-1141.132] (-1187.339) (-1136.237) * (-1149.573) (-1211.698) [-1146.717] (-1149.877) -- 0:06:36
Average standard deviation of split frequencies: 0.019662
196000 -- (-1154.357) [-1137.186] (-1196.950) (-1134.566) * (-1145.552) (-1196.036) [-1134.837] (-1142.524) -- 0:06:37
197000 -- (-1152.807) (-1143.084) (-1190.053) [-1141.813] * (-1144.173) (-1210.496) (-1159.525) [-1135.617] -- 0:06:35
198000 -- (-1134.500) [-1134.840] (-1201.961) (-1139.829) * [-1151.616] (-1193.191) (-1174.084) (-1142.583) -- 0:06:32
199000 -- (-1147.990) (-1137.056) (-1206.044) [-1139.382] * (-1132.179) (-1207.962) (-1176.498) [-1134.932] -- 0:06:34
200000 -- (-1144.436) [-1138.609] (-1196.223) (-1146.634) * (-1136.988) (-1202.020) (-1175.718) [-1138.973] -- 0:06:32
Average standard deviation of split frequencies: 0.018854
201000 -- (-1147.598) (-1134.484) (-1208.148) [-1136.954] * (-1149.105) (-1207.624) (-1161.471) [-1150.717] -- 0:06:33
202000 -- (-1140.865) [-1131.140] (-1211.702) (-1137.117) * [-1136.134] (-1195.464) (-1149.525) (-1140.177) -- 0:06:31
203000 -- [-1134.302] (-1139.314) (-1211.847) (-1141.738) * [-1141.904] (-1191.847) (-1142.486) (-1142.317) -- 0:06:32
204000 -- (-1141.830) [-1134.951] (-1199.623) (-1146.515) * [-1128.053] (-1191.817) (-1161.324) (-1136.760) -- 0:06:34
205000 -- (-1159.974) [-1131.231] (-1209.432) (-1141.285) * (-1135.839) (-1200.314) (-1148.401) [-1143.239] -- 0:06:31
Average standard deviation of split frequencies: 0.017838
206000 -- (-1148.997) [-1132.191] (-1206.069) (-1143.068) * (-1139.472) (-1202.598) (-1148.157) [-1136.270] -- 0:06:33
207000 -- (-1155.306) (-1147.815) (-1201.288) [-1138.265] * (-1132.207) (-1199.552) (-1144.324) [-1134.966] -- 0:06:30
208000 -- (-1154.722) [-1146.276] (-1201.595) (-1140.956) * (-1149.762) (-1223.819) (-1149.324) [-1131.678] -- 0:06:32
209000 -- [-1141.774] (-1138.844) (-1195.484) (-1146.979) * (-1136.124) (-1216.335) (-1158.371) [-1131.684] -- 0:06:29
210000 -- (-1140.438) [-1148.291] (-1206.516) (-1143.485) * (-1141.773) (-1211.624) (-1162.981) [-1132.579] -- 0:06:27
Average standard deviation of split frequencies: 0.018705
211000 -- (-1153.384) (-1147.623) (-1196.819) [-1134.195] * (-1146.109) (-1205.936) (-1144.486) [-1137.343] -- 0:06:28
212000 -- [-1133.908] (-1144.370) (-1207.732) (-1149.038) * (-1144.520) (-1196.844) (-1149.847) [-1138.728] -- 0:06:26
213000 -- (-1135.740) (-1143.424) (-1208.189) [-1143.141] * [-1135.725] (-1196.979) (-1146.514) (-1131.937) -- 0:06:27
214000 -- [-1133.762] (-1159.999) (-1207.272) (-1158.555) * (-1143.421) (-1199.385) (-1164.580) [-1134.647] -- 0:06:25
215000 -- [-1131.924] (-1156.911) (-1193.042) (-1152.988) * (-1137.286) (-1194.827) (-1143.284) [-1131.566] -- 0:06:27
Average standard deviation of split frequencies: 0.019082
216000 -- [-1132.207] (-1150.907) (-1212.621) (-1152.493) * [-1138.143] (-1209.271) (-1147.031) (-1142.205) -- 0:06:24
217000 -- (-1142.867) (-1146.271) (-1193.874) [-1129.998] * [-1134.056] (-1206.844) (-1152.815) (-1142.917) -- 0:06:26
218000 -- (-1145.961) [-1140.117] (-1197.855) (-1130.917) * [-1129.899] (-1203.506) (-1159.372) (-1130.847) -- 0:06:23
219000 -- [-1138.121] (-1137.361) (-1197.968) (-1139.798) * (-1138.150) (-1209.101) [-1137.013] (-1133.436) -- 0:06:25
220000 -- [-1131.885] (-1132.696) (-1201.880) (-1162.443) * [-1137.941] (-1193.765) (-1137.816) (-1144.470) -- 0:06:22
Average standard deviation of split frequencies: 0.018843
221000 -- [-1137.839] (-1161.270) (-1190.975) (-1141.010) * (-1139.833) (-1201.749) [-1128.601] (-1140.273) -- 0:06:24
222000 -- [-1144.592] (-1151.918) (-1191.679) (-1147.921) * (-1143.668) (-1204.672) [-1129.908] (-1136.912) -- 0:06:21
223000 -- [-1150.646] (-1147.358) (-1195.058) (-1140.221) * (-1136.312) (-1203.342) [-1132.554] (-1151.523) -- 0:06:23
224000 -- (-1143.731) (-1142.557) (-1191.957) [-1139.137] * (-1140.376) (-1193.816) [-1130.160] (-1157.635) -- 0:06:21
225000 -- [-1148.426] (-1141.558) (-1204.530) (-1150.636) * [-1139.584] (-1202.424) (-1133.742) (-1155.227) -- 0:06:22
Average standard deviation of split frequencies: 0.018719
226000 -- [-1146.787] (-1152.868) (-1194.775) (-1137.486) * (-1137.039) (-1201.546) [-1132.370] (-1151.592) -- 0:06:20
227000 -- (-1137.199) (-1154.341) (-1204.789) [-1136.872] * [-1140.017] (-1200.680) (-1130.966) (-1174.384) -- 0:06:21
228000 -- (-1138.391) (-1144.733) (-1197.656) [-1129.087] * [-1136.555] (-1200.668) (-1137.186) (-1165.539) -- 0:06:19
229000 -- (-1158.328) [-1131.230] (-1206.697) (-1128.709) * (-1152.531) (-1212.229) [-1140.362] (-1170.049) -- 0:06:20
230000 -- (-1145.304) [-1138.257] (-1189.755) (-1137.861) * (-1139.502) (-1199.879) [-1140.354] (-1149.916) -- 0:06:18
Average standard deviation of split frequencies: 0.017345
231000 -- (-1150.120) (-1141.242) (-1197.332) [-1134.109] * [-1135.419] (-1197.485) (-1143.970) (-1146.782) -- 0:06:19
232000 -- (-1146.267) [-1140.838] (-1198.984) (-1136.357) * (-1134.128) (-1203.757) [-1131.543] (-1149.758) -- 0:06:17
233000 -- (-1151.049) (-1144.010) (-1194.735) [-1128.402] * (-1142.111) (-1197.890) [-1131.583] (-1150.458) -- 0:06:18
234000 -- (-1138.213) [-1130.433] (-1197.172) (-1128.429) * (-1155.133) (-1204.640) [-1130.202] (-1150.154) -- 0:06:16
235000 -- [-1137.420] (-1143.426) (-1209.989) (-1132.800) * (-1144.661) (-1194.334) [-1138.371] (-1152.264) -- 0:06:17
Average standard deviation of split frequencies: 0.016729
236000 -- (-1141.357) [-1138.024] (-1192.611) (-1133.301) * (-1157.976) (-1209.844) [-1130.164] (-1146.752) -- 0:06:15
237000 -- (-1147.338) (-1145.606) (-1202.238) [-1138.327] * (-1140.317) (-1203.392) [-1138.303] (-1145.456) -- 0:06:16
238000 -- (-1150.818) (-1134.217) (-1207.575) [-1141.901] * [-1135.589] (-1206.415) (-1136.623) (-1136.973) -- 0:06:14
239000 -- (-1159.297) [-1138.191] (-1205.159) (-1136.596) * (-1140.587) (-1204.061) [-1138.357] (-1142.419) -- 0:06:15
240000 -- (-1147.066) [-1128.931] (-1195.672) (-1141.437) * [-1130.783] (-1194.860) (-1134.420) (-1144.352) -- 0:06:13
Average standard deviation of split frequencies: 0.016674
241000 -- (-1149.288) (-1139.254) (-1208.922) [-1131.811] * (-1135.402) (-1188.945) (-1135.937) [-1145.815] -- 0:06:14
242000 -- (-1146.530) [-1145.941] (-1194.472) (-1130.155) * [-1130.691] (-1198.669) (-1130.602) (-1153.891) -- 0:06:12
243000 -- (-1154.785) [-1148.790] (-1205.173) (-1127.350) * [-1144.098] (-1197.355) (-1135.824) (-1161.390) -- 0:06:13
244000 -- (-1159.329) [-1137.891] (-1212.526) (-1138.334) * (-1137.408) (-1197.465) [-1130.918] (-1152.511) -- 0:06:11
245000 -- (-1151.748) (-1142.402) (-1206.960) [-1138.636] * (-1133.711) (-1200.567) [-1131.389] (-1147.618) -- 0:06:12
Average standard deviation of split frequencies: 0.017007
246000 -- (-1147.873) [-1129.837] (-1199.327) (-1142.335) * [-1139.112] (-1210.597) (-1137.094) (-1144.681) -- 0:06:10
247000 -- (-1131.734) (-1149.818) (-1204.827) [-1140.829] * [-1140.202] (-1208.638) (-1138.687) (-1146.557) -- 0:06:11
248000 -- (-1137.605) (-1137.299) (-1198.857) [-1127.696] * (-1149.978) (-1207.881) [-1146.505] (-1145.033) -- 0:06:09
249000 -- [-1137.139] (-1146.203) (-1190.695) (-1134.298) * (-1142.133) (-1194.618) [-1137.990] (-1142.629) -- 0:06:10
250000 -- (-1144.818) (-1143.898) (-1196.129) [-1137.117] * [-1137.342] (-1197.420) (-1132.036) (-1157.407) -- 0:06:09
Average standard deviation of split frequencies: 0.016220
251000 -- (-1132.989) (-1141.729) (-1204.791) [-1135.876] * [-1140.307] (-1194.507) (-1135.246) (-1140.908) -- 0:06:10
252000 -- [-1136.608] (-1134.733) (-1205.986) (-1142.109) * (-1129.520) (-1206.795) [-1138.794] (-1142.794) -- 0:06:08
253000 -- (-1139.073) [-1146.825] (-1210.663) (-1145.641) * (-1145.780) (-1194.896) [-1133.069] (-1140.670) -- 0:06:09
254000 -- (-1152.979) [-1139.580] (-1196.237) (-1141.293) * [-1133.007] (-1197.249) (-1150.075) (-1143.057) -- 0:06:07
255000 -- [-1141.871] (-1148.581) (-1195.815) (-1139.939) * [-1132.923] (-1202.932) (-1150.851) (-1134.514) -- 0:06:08
Average standard deviation of split frequencies: 0.016665
256000 -- (-1153.326) (-1141.521) (-1215.117) [-1141.882] * (-1135.217) (-1197.523) [-1150.624] (-1148.495) -- 0:06:06
257000 -- (-1148.842) [-1143.743] (-1197.899) (-1155.291) * (-1136.548) (-1209.133) [-1142.392] (-1146.181) -- 0:06:07
258000 -- [-1130.588] (-1140.690) (-1194.618) (-1145.735) * [-1132.164] (-1201.952) (-1145.340) (-1157.918) -- 0:06:05
259000 -- [-1137.410] (-1154.214) (-1205.379) (-1141.504) * [-1136.404] (-1202.089) (-1141.156) (-1151.885) -- 0:06:06
260000 -- [-1133.933] (-1142.177) (-1205.821) (-1134.549) * (-1146.200) (-1190.561) [-1134.364] (-1153.314) -- 0:06:04
Average standard deviation of split frequencies: 0.015812
261000 -- (-1143.731) (-1154.573) (-1208.738) [-1139.609] * [-1135.744] (-1207.084) (-1139.635) (-1163.394) -- 0:06:05
262000 -- (-1134.926) (-1136.966) (-1208.195) [-1133.949] * (-1135.494) (-1201.629) [-1135.718] (-1145.212) -- 0:06:03
263000 -- (-1146.360) [-1136.856] (-1211.201) (-1132.504) * [-1145.347] (-1207.565) (-1140.467) (-1153.294) -- 0:06:04
264000 -- [-1134.917] (-1142.245) (-1200.406) (-1139.259) * [-1131.762] (-1200.046) (-1146.786) (-1139.967) -- 0:06:02
265000 -- (-1139.671) (-1131.987) (-1197.647) [-1128.501] * [-1134.066] (-1210.673) (-1147.884) (-1134.836) -- 0:06:03
Average standard deviation of split frequencies: 0.015285
266000 -- [-1131.718] (-1130.971) (-1214.924) (-1134.422) * [-1130.207] (-1201.820) (-1151.875) (-1138.687) -- 0:06:01
267000 -- (-1135.636) [-1130.948] (-1191.666) (-1144.094) * [-1136.704] (-1194.109) (-1152.481) (-1143.731) -- 0:06:02
268000 -- [-1137.434] (-1134.895) (-1201.820) (-1138.299) * [-1132.829] (-1206.048) (-1146.456) (-1133.391) -- 0:06:00
269000 -- [-1130.380] (-1134.673) (-1188.681) (-1132.546) * [-1134.369] (-1197.408) (-1139.087) (-1161.863) -- 0:06:01
270000 -- (-1142.425) (-1146.373) (-1205.077) [-1133.408] * [-1133.408] (-1204.174) (-1142.237) (-1157.766) -- 0:05:59
Average standard deviation of split frequencies: 0.015675
271000 -- [-1143.280] (-1141.680) (-1191.254) (-1137.985) * (-1141.395) (-1207.650) [-1136.084] (-1146.413) -- 0:06:00
272000 -- [-1132.045] (-1138.779) (-1196.037) (-1129.297) * (-1147.178) (-1193.936) (-1137.343) [-1132.884] -- 0:05:58
273000 -- [-1127.260] (-1135.067) (-1196.816) (-1147.212) * [-1137.674] (-1197.608) (-1143.238) (-1139.526) -- 0:05:59
274000 -- (-1142.576) [-1135.086] (-1204.858) (-1137.279) * [-1131.743] (-1208.134) (-1136.421) (-1153.289) -- 0:05:57
275000 -- (-1149.190) (-1134.969) (-1194.397) [-1134.464] * (-1141.314) (-1195.771) [-1133.203] (-1134.284) -- 0:05:58
Average standard deviation of split frequencies: 0.015457
276000 -- (-1141.751) [-1137.711] (-1196.797) (-1141.657) * (-1141.548) (-1193.090) [-1129.886] (-1137.985) -- 0:05:56
277000 -- [-1136.433] (-1143.374) (-1197.683) (-1137.489) * (-1130.713) (-1196.985) [-1135.860] (-1138.053) -- 0:05:57
278000 -- [-1135.090] (-1156.394) (-1200.015) (-1136.823) * (-1136.230) (-1213.323) [-1130.528] (-1142.277) -- 0:05:55
279000 -- [-1132.264] (-1151.642) (-1205.371) (-1148.917) * (-1133.059) (-1207.232) (-1143.221) [-1137.336] -- 0:05:56
280000 -- [-1149.683] (-1136.670) (-1211.570) (-1145.263) * (-1134.791) (-1202.469) [-1141.449] (-1141.610) -- 0:05:54
Average standard deviation of split frequencies: 0.015914
281000 -- [-1142.759] (-1133.476) (-1210.452) (-1143.585) * (-1134.149) (-1193.027) [-1132.761] (-1135.787) -- 0:05:55
282000 -- (-1145.877) [-1142.191] (-1195.945) (-1145.454) * (-1133.021) (-1207.921) [-1134.751] (-1139.892) -- 0:05:53
283000 -- [-1134.942] (-1139.691) (-1200.646) (-1141.852) * (-1142.174) (-1200.619) [-1136.224] (-1144.062) -- 0:05:54
284000 -- [-1141.130] (-1135.740) (-1206.255) (-1134.104) * (-1132.096) (-1193.430) [-1126.575] (-1139.475) -- 0:05:52
285000 -- (-1136.037) [-1148.585] (-1206.148) (-1137.229) * (-1135.830) (-1193.163) [-1128.785] (-1142.584) -- 0:05:53
Average standard deviation of split frequencies: 0.015700
286000 -- (-1136.915) [-1127.592] (-1217.488) (-1142.749) * [-1130.949] (-1206.606) (-1155.792) (-1148.793) -- 0:05:52
287000 -- (-1143.436) [-1135.672] (-1201.174) (-1145.799) * [-1134.985] (-1198.059) (-1136.343) (-1146.657) -- 0:05:52
288000 -- [-1133.591] (-1141.552) (-1208.633) (-1147.946) * (-1142.922) (-1194.054) [-1137.272] (-1135.684) -- 0:05:51
289000 -- (-1153.748) (-1145.656) (-1202.964) [-1135.936] * (-1138.804) (-1214.635) [-1138.739] (-1152.156) -- 0:05:51
290000 -- (-1153.682) [-1135.059] (-1191.273) (-1130.414) * [-1136.817] (-1195.313) (-1136.696) (-1153.907) -- 0:05:50
Average standard deviation of split frequencies: 0.015054
291000 -- (-1144.056) [-1143.066] (-1198.830) (-1130.039) * [-1140.630] (-1210.028) (-1129.795) (-1139.921) -- 0:05:48
292000 -- [-1132.251] (-1141.058) (-1190.939) (-1127.956) * (-1135.714) (-1199.252) [-1144.863] (-1142.364) -- 0:05:49
293000 -- (-1135.648) (-1140.576) (-1206.751) [-1133.259] * [-1148.065] (-1202.469) (-1146.135) (-1150.918) -- 0:05:47
294000 -- [-1127.727] (-1138.582) (-1216.664) (-1161.212) * (-1136.863) (-1189.375) [-1142.594] (-1142.908) -- 0:05:48
295000 -- (-1126.735) [-1132.902] (-1203.761) (-1143.214) * (-1147.476) (-1200.010) [-1141.101] (-1155.799) -- 0:05:46
Average standard deviation of split frequencies: 0.014374
296000 -- (-1145.833) (-1139.524) (-1215.985) [-1151.439] * (-1144.501) (-1194.059) (-1145.197) [-1140.192] -- 0:05:47
297000 -- (-1137.215) (-1149.993) (-1208.698) [-1135.612] * (-1156.967) (-1212.577) (-1157.345) [-1133.084] -- 0:05:45
298000 -- (-1131.599) (-1149.671) (-1202.246) [-1130.556] * (-1151.567) (-1209.463) [-1130.886] (-1134.312) -- 0:05:46
299000 -- [-1134.008] (-1151.227) (-1201.742) (-1131.810) * (-1141.710) (-1202.761) [-1141.714] (-1130.306) -- 0:05:44
300000 -- (-1123.984) (-1149.427) (-1195.639) [-1132.294] * [-1145.278] (-1203.699) (-1143.254) (-1137.308) -- 0:05:45
Average standard deviation of split frequencies: 0.014936
301000 -- [-1132.883] (-1152.223) (-1205.071) (-1135.529) * (-1146.869) (-1210.327) [-1139.958] (-1151.823) -- 0:05:43
302000 -- (-1145.486) (-1159.042) (-1201.853) [-1141.801] * (-1133.522) (-1191.363) [-1144.314] (-1147.087) -- 0:05:44
303000 -- (-1133.481) (-1154.132) (-1211.529) [-1133.076] * [-1127.188] (-1204.012) (-1142.279) (-1160.726) -- 0:05:42
304000 -- [-1130.377] (-1131.547) (-1198.814) (-1136.580) * (-1135.952) (-1209.468) [-1138.620] (-1149.465) -- 0:05:43
305000 -- [-1131.281] (-1149.633) (-1211.966) (-1138.943) * [-1136.906] (-1203.972) (-1139.133) (-1138.793) -- 0:05:41
Average standard deviation of split frequencies: 0.014959
306000 -- [-1133.551] (-1139.493) (-1209.033) (-1133.800) * [-1130.819] (-1203.106) (-1144.536) (-1138.937) -- 0:05:42
307000 -- (-1136.700) (-1155.147) (-1194.770) [-1128.512] * [-1139.059] (-1201.847) (-1135.681) (-1140.517) -- 0:05:40
308000 -- [-1125.993] (-1137.599) (-1197.704) (-1139.928) * (-1132.004) (-1209.587) [-1145.003] (-1140.006) -- 0:05:41
309000 -- (-1151.000) (-1145.170) (-1201.355) [-1136.164] * (-1133.421) (-1209.024) [-1135.215] (-1126.063) -- 0:05:39
310000 -- (-1159.152) (-1147.298) (-1208.388) [-1135.993] * [-1130.199] (-1200.631) (-1147.625) (-1132.422) -- 0:05:40
Average standard deviation of split frequencies: 0.015054
311000 -- (-1147.505) (-1151.846) (-1202.787) [-1134.396] * (-1138.956) (-1206.247) (-1139.833) [-1136.721] -- 0:05:38
312000 -- (-1146.208) (-1158.469) (-1195.881) [-1139.392] * (-1144.162) (-1196.236) [-1135.350] (-1145.145) -- 0:05:39
313000 -- (-1142.975) (-1155.880) (-1192.921) [-1137.642] * [-1136.363] (-1195.725) (-1141.077) (-1150.084) -- 0:05:38
314000 -- (-1146.490) [-1139.940] (-1203.088) (-1140.391) * (-1154.762) (-1197.026) (-1133.030) [-1146.079] -- 0:05:38
315000 -- (-1140.193) (-1143.696) (-1206.678) [-1134.166] * (-1159.462) (-1199.734) [-1135.256] (-1151.433) -- 0:05:37
Average standard deviation of split frequencies: 0.014682
316000 -- [-1137.883] (-1147.900) (-1206.660) (-1141.496) * (-1176.997) (-1205.809) [-1132.016] (-1143.472) -- 0:05:37
317000 -- [-1130.706] (-1143.617) (-1207.496) (-1133.111) * (-1161.309) (-1189.322) [-1129.825] (-1137.566) -- 0:05:36
318000 -- (-1129.497) (-1149.604) (-1204.645) [-1136.257] * (-1151.062) (-1198.650) (-1135.903) [-1136.488] -- 0:05:36
319000 -- (-1148.613) (-1135.892) (-1185.010) [-1141.372] * (-1148.291) (-1194.097) [-1139.338] (-1160.774) -- 0:05:35
320000 -- (-1161.807) (-1142.995) (-1200.220) [-1138.201] * (-1147.747) (-1190.478) [-1137.195] (-1135.184) -- 0:05:35
Average standard deviation of split frequencies: 0.014739
321000 -- (-1145.952) (-1141.545) (-1205.661) [-1131.394] * (-1141.830) (-1210.575) [-1133.635] (-1148.112) -- 0:05:34
322000 -- (-1157.632) (-1145.132) (-1204.370) [-1139.530] * (-1148.063) (-1201.785) [-1135.336] (-1144.124) -- 0:05:34
323000 -- (-1137.628) (-1152.134) (-1201.264) [-1141.679] * (-1136.927) (-1188.572) [-1128.965] (-1134.920) -- 0:05:33
324000 -- (-1133.796) (-1147.339) (-1203.045) [-1130.739] * (-1146.358) (-1197.403) (-1149.145) [-1142.410] -- 0:05:33
325000 -- (-1145.518) (-1151.911) (-1187.817) [-1131.194] * (-1138.589) (-1206.783) [-1142.059] (-1131.138) -- 0:05:32
Average standard deviation of split frequencies: 0.014275
326000 -- (-1136.683) (-1133.695) (-1194.170) [-1129.916] * (-1159.914) (-1202.446) (-1133.148) [-1132.152] -- 0:05:32
327000 -- (-1151.534) (-1139.389) (-1197.320) [-1134.928] * (-1163.106) (-1208.597) [-1137.132] (-1134.736) -- 0:05:31
328000 -- (-1144.216) [-1148.625] (-1199.058) (-1143.546) * (-1143.826) (-1204.602) [-1131.476] (-1139.007) -- 0:05:31
329000 -- (-1157.717) [-1137.236] (-1193.470) (-1146.425) * (-1128.805) (-1201.092) (-1136.261) [-1133.677] -- 0:05:30
330000 -- (-1141.067) [-1131.884] (-1203.385) (-1137.647) * (-1160.854) (-1206.612) [-1133.428] (-1143.030) -- 0:05:30
Average standard deviation of split frequencies: 0.015119
331000 -- (-1142.382) [-1135.887] (-1192.373) (-1136.579) * (-1159.780) (-1192.806) [-1138.114] (-1140.912) -- 0:05:29
332000 -- (-1150.348) [-1142.847] (-1197.789) (-1136.396) * (-1150.938) (-1201.370) (-1144.690) [-1147.513] -- 0:05:29
333000 -- (-1161.106) (-1131.920) (-1213.126) [-1135.182] * (-1151.679) (-1208.905) [-1141.561] (-1140.046) -- 0:05:28
334000 -- (-1141.070) (-1143.342) (-1194.935) [-1138.247] * (-1137.941) (-1207.973) [-1133.531] (-1149.648) -- 0:05:29
335000 -- (-1139.726) [-1136.740] (-1205.093) (-1145.622) * (-1140.888) (-1202.031) (-1134.494) [-1145.191] -- 0:05:27
Average standard deviation of split frequencies: 0.014658
336000 -- (-1135.470) [-1139.287] (-1200.893) (-1137.696) * (-1148.212) (-1197.872) [-1138.757] (-1140.120) -- 0:05:28
337000 -- (-1151.793) (-1143.621) (-1194.313) [-1134.334] * (-1147.546) (-1200.033) [-1137.902] (-1143.245) -- 0:05:26
338000 -- (-1165.688) [-1143.226] (-1205.231) (-1136.637) * [-1130.614] (-1202.526) (-1134.125) (-1147.672) -- 0:05:27
339000 -- (-1149.138) [-1146.779] (-1197.818) (-1130.325) * [-1139.970] (-1207.301) (-1132.016) (-1146.229) -- 0:05:25
340000 -- (-1141.781) (-1156.319) (-1195.514) [-1146.042] * (-1139.046) (-1196.645) [-1140.971] (-1148.246) -- 0:05:26
Average standard deviation of split frequencies: 0.014894
341000 -- (-1143.050) (-1158.057) (-1193.042) [-1145.897] * (-1141.392) (-1196.760) [-1136.890] (-1149.487) -- 0:05:24
342000 -- (-1148.686) [-1143.090] (-1189.396) (-1139.557) * (-1139.007) (-1200.921) [-1141.051] (-1142.108) -- 0:05:25
343000 -- (-1147.488) [-1140.231] (-1199.322) (-1137.523) * [-1136.567] (-1202.949) (-1136.432) (-1147.639) -- 0:05:23
344000 -- (-1156.722) [-1136.910] (-1194.765) (-1147.776) * [-1142.441] (-1211.861) (-1138.243) (-1147.418) -- 0:05:24
345000 -- (-1141.495) (-1130.169) (-1195.383) [-1143.302] * (-1136.346) (-1189.608) [-1134.016] (-1154.466) -- 0:05:22
Average standard deviation of split frequencies: 0.014879
346000 -- (-1145.639) (-1128.751) (-1196.102) [-1131.898] * (-1133.145) (-1196.378) [-1137.815] (-1149.931) -- 0:05:23
347000 -- (-1145.810) [-1130.333] (-1191.288) (-1142.471) * [-1131.449] (-1205.628) (-1142.431) (-1138.934) -- 0:05:21
348000 -- [-1134.021] (-1144.005) (-1201.954) (-1150.973) * (-1138.483) (-1192.928) [-1136.102] (-1133.343) -- 0:05:20
349000 -- (-1142.453) (-1159.965) (-1200.816) [-1138.274] * (-1143.108) (-1200.734) [-1135.683] (-1140.391) -- 0:05:20
350000 -- [-1135.925] (-1164.461) (-1198.366) (-1145.300) * (-1137.831) (-1202.197) [-1127.850] (-1135.185) -- 0:05:19
Average standard deviation of split frequencies: 0.013926
351000 -- [-1136.969] (-1153.230) (-1210.329) (-1152.299) * [-1133.515] (-1215.193) (-1143.289) (-1133.802) -- 0:05:19
352000 -- [-1137.039] (-1160.386) (-1214.798) (-1146.133) * (-1154.149) (-1214.327) (-1136.808) [-1130.175] -- 0:05:18
353000 -- [-1133.411] (-1159.236) (-1207.778) (-1129.967) * (-1140.588) (-1200.867) (-1139.499) [-1129.057] -- 0:05:18
354000 -- [-1127.827] (-1149.774) (-1202.094) (-1138.286) * (-1139.927) (-1185.536) (-1159.003) [-1132.214] -- 0:05:17
355000 -- (-1138.929) (-1143.330) (-1204.109) [-1138.770] * (-1138.314) (-1196.539) (-1150.311) [-1130.464] -- 0:05:17
Average standard deviation of split frequencies: 0.013615
356000 -- (-1134.261) (-1157.213) (-1197.234) [-1136.584] * [-1128.373] (-1203.512) (-1144.207) (-1141.872) -- 0:05:16
357000 -- (-1142.797) (-1142.799) (-1208.022) [-1132.645] * (-1135.440) (-1197.432) (-1153.361) [-1132.621] -- 0:05:16
358000 -- (-1140.309) (-1154.549) (-1209.952) [-1131.350] * (-1129.115) (-1199.267) (-1145.322) [-1136.479] -- 0:05:15
359000 -- [-1135.291] (-1158.227) (-1204.093) (-1140.846) * [-1141.474] (-1199.998) (-1148.761) (-1140.943) -- 0:05:16
360000 -- [-1136.855] (-1142.190) (-1201.698) (-1141.537) * [-1134.349] (-1209.522) (-1144.343) (-1138.393) -- 0:05:14
Average standard deviation of split frequencies: 0.013540
361000 -- (-1140.235) (-1147.346) (-1207.901) [-1144.098] * [-1131.501] (-1197.069) (-1138.509) (-1134.342) -- 0:05:15
362000 -- (-1145.515) (-1137.550) (-1206.535) [-1134.476] * (-1131.578) (-1212.426) (-1136.832) [-1136.020] -- 0:05:13
363000 -- [-1140.623] (-1143.149) (-1203.899) (-1128.916) * (-1135.350) (-1209.522) (-1155.153) [-1134.998] -- 0:05:14
364000 -- (-1140.486) (-1144.423) (-1209.668) [-1129.195] * [-1127.616] (-1193.428) (-1136.331) (-1138.612) -- 0:05:12
365000 -- [-1138.752] (-1153.191) (-1209.731) (-1139.304) * [-1144.306] (-1202.461) (-1142.263) (-1138.402) -- 0:05:13
Average standard deviation of split frequencies: 0.013507
366000 -- [-1140.079] (-1140.830) (-1199.572) (-1137.658) * (-1139.710) (-1201.295) [-1136.279] (-1139.087) -- 0:05:11
367000 -- (-1137.014) [-1133.677] (-1211.453) (-1153.198) * [-1136.891] (-1193.807) (-1150.906) (-1140.564) -- 0:05:12
368000 -- [-1133.244] (-1137.467) (-1190.352) (-1158.809) * (-1140.370) (-1198.109) [-1132.252] (-1141.425) -- 0:05:10
369000 -- (-1133.797) [-1141.994] (-1211.978) (-1145.258) * (-1148.637) (-1199.314) [-1139.045] (-1139.254) -- 0:05:11
370000 -- (-1150.421) [-1131.650] (-1198.367) (-1145.281) * (-1141.564) (-1186.553) [-1138.604] (-1145.712) -- 0:05:09
Average standard deviation of split frequencies: 0.013826
371000 -- (-1145.774) [-1135.478] (-1192.971) (-1156.033) * (-1146.484) (-1193.139) [-1129.238] (-1141.633) -- 0:05:10
372000 -- (-1133.409) [-1140.156] (-1198.126) (-1184.430) * (-1155.001) (-1205.763) (-1142.360) [-1134.920] -- 0:05:08
373000 -- (-1136.557) [-1137.114] (-1197.001) (-1172.984) * (-1151.770) (-1202.422) (-1153.010) [-1142.730] -- 0:05:09
374000 -- (-1141.315) [-1146.882] (-1200.654) (-1152.098) * (-1140.683) (-1209.291) (-1138.041) [-1136.220] -- 0:05:07
375000 -- [-1145.347] (-1143.833) (-1200.818) (-1151.731) * [-1134.068] (-1194.905) (-1137.383) (-1149.293) -- 0:05:08
Average standard deviation of split frequencies: 0.013566
376000 -- [-1140.410] (-1148.629) (-1207.023) (-1156.576) * [-1139.042] (-1196.398) (-1141.387) (-1156.775) -- 0:05:07
377000 -- (-1146.893) [-1143.458] (-1198.280) (-1146.799) * (-1142.832) (-1199.448) [-1135.626] (-1136.497) -- 0:05:07
378000 -- (-1143.435) [-1139.348] (-1199.397) (-1144.991) * (-1137.868) (-1195.815) [-1129.738] (-1138.532) -- 0:05:06
379000 -- (-1141.252) [-1139.668] (-1199.074) (-1154.181) * (-1143.817) (-1211.144) [-1135.764] (-1143.969) -- 0:05:06
380000 -- (-1139.470) [-1139.931] (-1204.816) (-1148.370) * (-1156.817) (-1205.907) [-1135.973] (-1140.855) -- 0:05:05
Average standard deviation of split frequencies: 0.013368
381000 -- (-1136.105) [-1136.975] (-1194.930) (-1154.427) * (-1160.979) (-1209.163) [-1135.355] (-1148.612) -- 0:05:05
382000 -- [-1141.989] (-1144.558) (-1191.109) (-1144.279) * (-1141.660) (-1209.260) [-1131.849] (-1164.888) -- 0:05:04
383000 -- (-1147.594) (-1151.569) (-1189.649) [-1140.589] * [-1150.801] (-1199.525) (-1139.087) (-1161.126) -- 0:05:04
384000 -- [-1139.798] (-1145.462) (-1195.333) (-1143.049) * (-1136.304) (-1207.174) [-1130.588] (-1160.929) -- 0:05:03
385000 -- (-1138.972) (-1143.056) (-1198.555) [-1140.771] * (-1137.588) (-1201.161) [-1140.784] (-1137.393) -- 0:05:03
Average standard deviation of split frequencies: 0.013371
386000 -- (-1139.975) (-1157.716) (-1189.238) [-1136.584] * [-1136.191] (-1194.812) (-1135.228) (-1135.324) -- 0:05:02
387000 -- [-1133.549] (-1150.789) (-1195.239) (-1140.695) * (-1136.583) (-1200.827) [-1129.790] (-1147.349) -- 0:05:02
388000 -- (-1140.248) (-1141.548) (-1199.100) [-1133.767] * [-1136.549] (-1203.738) (-1151.253) (-1154.914) -- 0:05:01
389000 -- (-1141.345) (-1134.792) (-1203.886) [-1128.722] * [-1130.441] (-1196.250) (-1152.953) (-1141.740) -- 0:05:01
390000 -- (-1149.973) (-1141.921) (-1202.153) [-1139.750] * (-1143.398) (-1195.719) (-1150.853) [-1143.125] -- 0:05:00
Average standard deviation of split frequencies: 0.013459
391000 -- (-1148.187) (-1141.597) (-1195.787) [-1135.551] * [-1138.044] (-1205.202) (-1143.537) (-1134.407) -- 0:05:00
392000 -- (-1144.586) [-1133.169] (-1198.069) (-1134.511) * [-1130.995] (-1204.012) (-1142.887) (-1153.623) -- 0:04:59
393000 -- (-1138.422) (-1139.828) (-1196.039) [-1142.143] * [-1145.306] (-1217.898) (-1136.993) (-1140.190) -- 0:04:59
394000 -- (-1150.996) [-1137.129] (-1206.067) (-1134.962) * (-1149.851) (-1199.995) (-1145.243) [-1135.129] -- 0:04:58
395000 -- (-1164.548) (-1146.866) (-1203.887) [-1137.628] * (-1127.779) (-1207.808) [-1122.890] (-1147.602) -- 0:04:58
Average standard deviation of split frequencies: 0.013034
396000 -- (-1142.869) [-1150.589] (-1210.802) (-1144.721) * (-1138.023) (-1197.436) [-1131.339] (-1136.644) -- 0:04:57
397000 -- (-1151.304) (-1136.700) (-1197.296) [-1144.846] * (-1144.985) (-1186.851) [-1132.583] (-1149.438) -- 0:04:57
398000 -- (-1154.661) (-1132.543) (-1189.180) [-1135.739] * [-1134.969] (-1197.222) (-1142.120) (-1143.511) -- 0:04:56
399000 -- (-1156.229) (-1140.167) (-1210.293) [-1133.879] * (-1126.204) (-1199.539) [-1136.150] (-1150.147) -- 0:04:56
400000 -- (-1146.044) [-1146.653] (-1191.514) (-1141.301) * [-1139.247] (-1212.318) (-1147.330) (-1143.685) -- 0:04:55
Average standard deviation of split frequencies: 0.012731
401000 -- (-1135.371) (-1173.533) (-1202.512) [-1143.766] * [-1138.024] (-1194.202) (-1146.441) (-1138.622) -- 0:04:55
402000 -- (-1140.981) (-1160.452) (-1206.487) [-1139.935] * [-1138.101] (-1199.965) (-1143.862) (-1143.995) -- 0:04:54
403000 -- [-1137.806] (-1147.814) (-1197.964) (-1136.132) * (-1149.264) (-1189.082) [-1138.159] (-1139.310) -- 0:04:54
404000 -- [-1139.144] (-1145.383) (-1192.313) (-1155.517) * (-1133.175) (-1197.469) (-1140.543) [-1134.216] -- 0:04:53
405000 -- (-1141.542) [-1129.922] (-1192.772) (-1153.258) * (-1143.425) (-1213.597) (-1140.947) [-1129.259] -- 0:04:53
Average standard deviation of split frequencies: 0.012474
406000 -- [-1140.589] (-1141.376) (-1192.699) (-1153.432) * [-1153.956] (-1211.127) (-1139.971) (-1136.389) -- 0:04:52
407000 -- [-1138.713] (-1127.062) (-1202.657) (-1141.627) * (-1139.125) (-1202.190) [-1142.397] (-1145.501) -- 0:04:52
408000 -- (-1138.451) [-1128.748] (-1198.784) (-1145.350) * [-1137.262] (-1198.196) (-1138.488) (-1139.846) -- 0:04:51
409000 -- (-1138.060) [-1128.864] (-1198.687) (-1160.975) * (-1138.143) (-1190.163) [-1135.505] (-1144.640) -- 0:04:51
410000 -- (-1149.469) [-1141.016] (-1201.472) (-1142.641) * (-1136.284) (-1194.480) [-1134.246] (-1163.794) -- 0:04:50
Average standard deviation of split frequencies: 0.012446
411000 -- (-1147.573) (-1141.063) (-1196.967) [-1137.751] * (-1142.589) (-1202.677) [-1133.040] (-1147.256) -- 0:04:50
412000 -- (-1136.879) [-1135.554] (-1207.768) (-1138.441) * (-1142.160) (-1211.056) [-1134.390] (-1146.874) -- 0:04:49
413000 -- [-1139.886] (-1142.107) (-1200.885) (-1158.206) * (-1137.062) (-1205.347) [-1134.048] (-1145.872) -- 0:04:49
414000 -- (-1143.202) [-1139.089] (-1204.668) (-1144.978) * (-1148.889) (-1202.269) [-1135.936] (-1156.491) -- 0:04:48
415000 -- (-1135.373) [-1134.773] (-1200.799) (-1149.397) * (-1146.565) (-1219.694) [-1139.105] (-1136.910) -- 0:04:48
Average standard deviation of split frequencies: 0.012614
416000 -- (-1133.576) [-1137.002] (-1196.572) (-1147.301) * [-1145.485] (-1195.179) (-1143.146) (-1140.083) -- 0:04:47
417000 -- [-1133.034] (-1131.589) (-1195.368) (-1162.788) * [-1132.713] (-1205.728) (-1134.158) (-1150.895) -- 0:04:48
418000 -- [-1143.308] (-1132.288) (-1211.681) (-1139.705) * [-1129.293] (-1210.951) (-1142.261) (-1153.542) -- 0:04:46
419000 -- (-1140.015) (-1132.130) (-1209.803) [-1137.678] * (-1131.556) (-1202.735) [-1135.611] (-1138.167) -- 0:04:47
420000 -- (-1133.734) [-1136.505] (-1191.561) (-1141.529) * [-1139.396] (-1215.823) (-1137.360) (-1155.437) -- 0:04:45
Average standard deviation of split frequencies: 0.012268
421000 -- (-1134.885) [-1136.451] (-1204.573) (-1136.715) * (-1139.099) (-1195.581) [-1138.673] (-1141.669) -- 0:04:46
422000 -- (-1139.850) [-1135.598] (-1203.146) (-1136.350) * (-1138.955) (-1198.726) [-1139.076] (-1157.062) -- 0:04:44
423000 -- (-1128.556) [-1124.306] (-1211.076) (-1150.684) * [-1132.872] (-1197.083) (-1140.719) (-1161.707) -- 0:04:45
424000 -- (-1146.920) [-1135.478] (-1197.360) (-1130.628) * [-1132.203] (-1214.690) (-1132.165) (-1144.454) -- 0:04:43
425000 -- [-1144.281] (-1143.061) (-1206.019) (-1136.998) * (-1144.343) (-1197.077) [-1143.229] (-1151.544) -- 0:04:44
Average standard deviation of split frequencies: 0.011794
426000 -- (-1137.104) [-1131.527] (-1198.953) (-1135.287) * [-1139.196] (-1204.837) (-1145.373) (-1166.891) -- 0:04:42
427000 -- (-1148.174) [-1128.563] (-1203.455) (-1133.862) * [-1132.915] (-1191.578) (-1140.667) (-1141.975) -- 0:04:43
428000 -- (-1148.800) [-1132.476] (-1193.541) (-1128.473) * (-1170.318) (-1204.117) [-1131.462] (-1142.381) -- 0:04:41
429000 -- (-1136.689) [-1136.518] (-1200.539) (-1140.420) * (-1147.974) (-1211.237) [-1137.248] (-1139.920) -- 0:04:42
430000 -- (-1161.883) [-1140.890] (-1201.441) (-1152.116) * (-1151.244) (-1192.172) (-1138.246) [-1132.630] -- 0:04:41
Average standard deviation of split frequencies: 0.011320
431000 -- (-1156.032) (-1129.908) (-1184.196) [-1133.893] * (-1155.452) (-1198.249) [-1136.131] (-1144.621) -- 0:04:39
432000 -- (-1152.016) [-1128.805] (-1192.003) (-1134.690) * (-1153.602) (-1194.046) [-1140.352] (-1145.994) -- 0:04:40
433000 -- (-1151.029) (-1131.206) (-1204.310) [-1148.478] * (-1137.807) (-1186.127) [-1142.823] (-1146.231) -- 0:04:38
434000 -- (-1151.500) [-1133.412] (-1206.981) (-1139.682) * [-1138.314] (-1186.691) (-1144.837) (-1154.147) -- 0:04:39
435000 -- (-1144.640) [-1131.989] (-1195.727) (-1144.197) * [-1140.245] (-1189.534) (-1153.328) (-1148.168) -- 0:04:37
Average standard deviation of split frequencies: 0.010954
436000 -- (-1130.933) (-1139.147) (-1198.984) [-1139.273] * (-1145.647) (-1198.557) [-1147.223] (-1152.419) -- 0:04:38
437000 -- (-1137.031) [-1145.264] (-1195.429) (-1134.916) * [-1136.484] (-1207.362) (-1134.950) (-1144.686) -- 0:04:36
438000 -- (-1138.751) (-1139.526) (-1199.745) [-1129.382] * [-1145.121] (-1203.612) (-1136.900) (-1155.081) -- 0:04:37
439000 -- (-1145.445) [-1127.001] (-1202.287) (-1144.020) * (-1143.967) (-1201.474) [-1132.958] (-1154.603) -- 0:04:36
440000 -- [-1145.466] (-1132.191) (-1199.307) (-1137.396) * (-1132.907) (-1201.658) [-1132.153] (-1160.079) -- 0:04:36
Average standard deviation of split frequencies: 0.011514
441000 -- (-1144.470) (-1135.594) (-1199.423) [-1146.209] * [-1130.613] (-1193.992) (-1146.658) (-1156.918) -- 0:04:35
442000 -- (-1158.744) [-1129.135] (-1189.010) (-1144.578) * [-1135.159] (-1196.424) (-1146.782) (-1141.155) -- 0:04:35
443000 -- (-1143.179) (-1135.894) (-1194.235) [-1131.553] * [-1135.222] (-1196.176) (-1142.725) (-1134.676) -- 0:04:34
444000 -- (-1135.782) [-1140.388] (-1200.483) (-1148.793) * [-1139.750] (-1195.561) (-1133.294) (-1149.128) -- 0:04:34
445000 -- (-1142.517) (-1147.813) (-1197.091) [-1130.386] * (-1138.363) (-1185.833) [-1127.866] (-1141.011) -- 0:04:33
Average standard deviation of split frequencies: 0.011125
446000 -- (-1133.192) [-1130.379] (-1193.291) (-1141.968) * [-1130.420] (-1205.493) (-1138.180) (-1173.382) -- 0:04:33
447000 -- [-1131.074] (-1147.476) (-1203.430) (-1139.299) * (-1136.755) (-1197.413) [-1140.954] (-1150.862) -- 0:04:32
448000 -- [-1136.912] (-1154.400) (-1201.301) (-1144.597) * [-1130.198] (-1214.026) (-1134.235) (-1154.948) -- 0:04:32
449000 -- [-1135.341] (-1161.651) (-1192.935) (-1135.661) * [-1134.007] (-1219.136) (-1151.975) (-1142.612) -- 0:04:31
450000 -- (-1145.425) (-1142.872) (-1203.516) [-1131.231] * (-1134.985) (-1215.506) (-1147.583) [-1148.137] -- 0:04:31
Average standard deviation of split frequencies: 0.011104
451000 -- (-1140.398) (-1134.790) (-1193.938) [-1135.120] * [-1130.300] (-1208.414) (-1141.428) (-1133.928) -- 0:04:30
452000 -- (-1136.641) (-1164.503) (-1206.592) [-1129.634] * [-1138.396] (-1210.174) (-1155.047) (-1143.421) -- 0:04:30
453000 -- [-1135.719] (-1143.983) (-1205.922) (-1133.052) * [-1141.329] (-1193.149) (-1142.952) (-1143.428) -- 0:04:29
454000 -- (-1144.293) (-1148.617) (-1216.808) [-1137.347] * (-1144.882) (-1202.764) (-1144.386) [-1137.953] -- 0:04:29
455000 -- (-1147.563) (-1139.911) (-1207.974) [-1136.252] * [-1143.054] (-1202.404) (-1152.914) (-1135.921) -- 0:04:28
Average standard deviation of split frequencies: 0.010735
456000 -- (-1141.544) [-1134.558] (-1195.879) (-1132.887) * (-1138.541) (-1192.103) (-1148.377) [-1134.327] -- 0:04:28
457000 -- (-1149.071) (-1141.647) (-1197.524) [-1144.716] * (-1135.331) (-1198.211) (-1131.518) [-1138.873] -- 0:04:27
458000 -- [-1134.119] (-1162.479) (-1194.756) (-1133.943) * (-1138.832) (-1210.771) (-1157.528) [-1134.416] -- 0:04:27
459000 -- [-1140.746] (-1145.002) (-1200.299) (-1145.699) * (-1138.968) (-1201.008) (-1158.760) [-1133.645] -- 0:04:26
460000 -- [-1132.666] (-1138.502) (-1196.917) (-1149.836) * [-1131.004] (-1201.978) (-1149.747) (-1135.199) -- 0:04:26
Average standard deviation of split frequencies: 0.010668
461000 -- [-1144.204] (-1145.270) (-1200.260) (-1166.513) * [-1146.909] (-1204.687) (-1147.923) (-1132.430) -- 0:04:25
462000 -- [-1135.907] (-1134.554) (-1193.876) (-1158.560) * [-1132.694] (-1197.927) (-1161.922) (-1133.612) -- 0:04:25
463000 -- [-1143.843] (-1144.493) (-1195.120) (-1154.572) * (-1134.463) (-1201.829) (-1162.486) [-1136.557] -- 0:04:24
464000 -- [-1135.687] (-1156.889) (-1201.428) (-1139.095) * (-1137.362) (-1200.134) (-1152.064) [-1140.324] -- 0:04:24
465000 -- (-1155.230) (-1151.900) (-1193.457) [-1128.859] * (-1137.346) (-1195.321) (-1158.043) [-1133.697] -- 0:04:23
Average standard deviation of split frequencies: 0.010445
466000 -- (-1148.384) [-1145.696] (-1191.008) (-1152.389) * (-1138.664) (-1217.458) (-1152.573) [-1135.366] -- 0:04:23
467000 -- (-1147.987) [-1134.699] (-1187.416) (-1138.289) * (-1153.649) (-1213.204) (-1149.000) [-1130.756] -- 0:04:22
468000 -- (-1146.864) [-1127.607] (-1199.696) (-1142.695) * (-1139.322) (-1201.391) [-1139.639] (-1130.274) -- 0:04:22
469000 -- (-1161.475) [-1130.838] (-1194.368) (-1147.273) * (-1150.270) (-1198.796) (-1143.041) [-1137.192] -- 0:04:21
470000 -- (-1148.800) [-1130.329] (-1195.375) (-1145.343) * (-1140.788) (-1212.515) (-1140.767) [-1142.285] -- 0:04:21
Average standard deviation of split frequencies: 0.010116
471000 -- (-1149.035) (-1137.356) (-1204.628) [-1133.314] * (-1135.830) (-1191.691) [-1129.277] (-1136.552) -- 0:04:20
472000 -- (-1149.085) [-1138.416] (-1190.388) (-1137.616) * (-1135.823) (-1202.146) [-1142.685] (-1134.959) -- 0:04:20
473000 -- (-1139.711) [-1134.636] (-1194.204) (-1156.970) * [-1136.055] (-1198.047) (-1132.626) (-1136.985) -- 0:04:19
474000 -- (-1139.142) [-1137.330] (-1201.630) (-1155.911) * [-1128.330] (-1190.684) (-1142.707) (-1146.098) -- 0:04:19
475000 -- (-1147.987) [-1136.309] (-1206.197) (-1145.970) * [-1135.902] (-1203.869) (-1138.493) (-1140.686) -- 0:04:18
Average standard deviation of split frequencies: 0.009650
476000 -- [-1139.116] (-1142.165) (-1192.944) (-1150.839) * (-1144.186) (-1193.501) [-1128.242] (-1139.648) -- 0:04:18
477000 -- (-1143.460) [-1145.976] (-1205.461) (-1154.140) * (-1134.176) (-1207.266) [-1133.256] (-1142.999) -- 0:04:17
478000 -- (-1138.341) [-1144.250] (-1192.195) (-1144.852) * (-1133.547) (-1200.804) (-1133.178) [-1133.431] -- 0:04:17
479000 -- [-1134.427] (-1137.307) (-1190.532) (-1138.111) * (-1143.729) (-1226.231) (-1134.713) [-1137.326] -- 0:04:16
480000 -- (-1129.893) [-1134.352] (-1195.923) (-1142.121) * [-1133.580] (-1206.400) (-1143.582) (-1150.866) -- 0:04:16
Average standard deviation of split frequencies: 0.009405
481000 -- [-1132.790] (-1133.064) (-1196.792) (-1160.322) * (-1144.386) (-1214.092) (-1140.189) [-1136.869] -- 0:04:15
482000 -- (-1129.762) [-1134.392] (-1195.380) (-1158.641) * (-1145.881) (-1205.566) (-1163.985) [-1132.912] -- 0:04:15
483000 -- [-1130.133] (-1146.555) (-1200.301) (-1144.729) * [-1137.526] (-1194.494) (-1155.113) (-1141.541) -- 0:04:14
484000 -- [-1136.476] (-1142.293) (-1198.371) (-1157.651) * [-1128.025] (-1202.442) (-1151.472) (-1143.101) -- 0:04:14
485000 -- [-1132.493] (-1140.945) (-1187.621) (-1144.748) * [-1130.602] (-1193.516) (-1159.337) (-1133.364) -- 0:04:13
Average standard deviation of split frequencies: 0.009336
486000 -- [-1132.857] (-1158.284) (-1189.369) (-1158.562) * (-1139.774) (-1210.620) (-1135.112) [-1136.272] -- 0:04:13
487000 -- (-1133.397) (-1146.628) (-1194.383) [-1138.220] * (-1133.199) (-1203.453) [-1131.654] (-1132.493) -- 0:04:12
488000 -- [-1135.663] (-1134.758) (-1199.689) (-1139.601) * [-1141.074] (-1205.228) (-1147.849) (-1135.587) -- 0:04:12
489000 -- [-1132.778] (-1145.880) (-1206.199) (-1143.808) * [-1131.324] (-1201.594) (-1153.826) (-1139.080) -- 0:04:11
490000 -- (-1138.751) (-1137.772) (-1204.458) [-1129.929] * [-1134.638] (-1192.240) (-1138.630) (-1149.033) -- 0:04:11
Average standard deviation of split frequencies: 0.009103
491000 -- [-1129.479] (-1142.619) (-1202.693) (-1146.351) * [-1137.138] (-1202.435) (-1159.375) (-1136.387) -- 0:04:10
492000 -- [-1133.656] (-1162.360) (-1215.029) (-1147.155) * (-1129.416) (-1195.742) (-1148.713) [-1138.418] -- 0:04:10
493000 -- [-1131.778] (-1155.473) (-1201.489) (-1146.825) * [-1136.161] (-1202.690) (-1152.358) (-1148.970) -- 0:04:09
494000 -- [-1129.007] (-1155.151) (-1185.568) (-1147.459) * [-1137.504] (-1202.029) (-1145.011) (-1148.546) -- 0:04:09
495000 -- [-1136.836] (-1135.810) (-1190.998) (-1156.639) * [-1135.400] (-1194.752) (-1145.398) (-1154.998) -- 0:04:08
Average standard deviation of split frequencies: 0.009076
496000 -- [-1134.698] (-1143.704) (-1209.796) (-1142.086) * [-1137.596] (-1207.457) (-1136.953) (-1147.586) -- 0:04:08
497000 -- (-1147.457) (-1151.395) (-1202.137) [-1141.234] * (-1149.295) (-1203.209) (-1131.402) [-1129.577] -- 0:04:07
498000 -- (-1157.322) (-1144.144) (-1212.424) [-1129.922] * (-1141.811) (-1197.698) [-1133.270] (-1137.600) -- 0:04:07
499000 -- (-1141.984) (-1130.044) (-1208.958) [-1135.354] * (-1149.174) (-1198.572) (-1128.778) [-1133.814] -- 0:04:06
500000 -- (-1146.941) [-1133.107] (-1203.962) (-1141.934) * (-1162.248) (-1197.911) [-1137.157] (-1139.947) -- 0:04:07
Average standard deviation of split frequencies: 0.008568
501000 -- (-1141.412) (-1134.317) (-1204.303) [-1131.285] * (-1145.939) (-1198.788) [-1129.985] (-1139.384) -- 0:04:06
502000 -- [-1132.366] (-1140.864) (-1201.728) (-1132.001) * [-1140.928] (-1197.357) (-1139.808) (-1149.826) -- 0:04:06
503000 -- (-1134.150) [-1138.256] (-1208.242) (-1161.649) * [-1131.851] (-1216.007) (-1138.413) (-1133.393) -- 0:04:05
504000 -- [-1130.435] (-1151.257) (-1221.197) (-1151.523) * [-1134.330] (-1193.803) (-1139.831) (-1149.465) -- 0:04:05
505000 -- (-1136.411) [-1132.143] (-1201.576) (-1146.314) * [-1139.185] (-1197.962) (-1137.497) (-1144.878) -- 0:04:04
Average standard deviation of split frequencies: 0.008594
506000 -- (-1139.913) [-1132.583] (-1192.623) (-1155.170) * [-1138.329] (-1205.031) (-1143.473) (-1141.500) -- 0:04:04
507000 -- (-1148.466) [-1126.553] (-1210.684) (-1135.787) * [-1141.706] (-1203.216) (-1149.057) (-1148.875) -- 0:04:03
508000 -- [-1134.821] (-1142.170) (-1197.998) (-1155.980) * (-1143.244) (-1191.566) [-1135.446] (-1149.659) -- 0:04:03
509000 -- [-1132.661] (-1163.614) (-1198.040) (-1142.185) * (-1135.771) (-1202.518) [-1126.534] (-1163.569) -- 0:04:02
510000 -- [-1132.083] (-1147.689) (-1193.106) (-1145.253) * (-1142.626) (-1191.534) [-1131.137] (-1152.200) -- 0:04:02
Average standard deviation of split frequencies: 0.008700
511000 -- [-1139.014] (-1135.375) (-1204.382) (-1140.231) * [-1133.448] (-1196.867) (-1135.609) (-1141.310) -- 0:04:01
512000 -- [-1133.438] (-1144.537) (-1200.976) (-1148.306) * (-1142.329) (-1197.199) (-1137.295) [-1134.690] -- 0:04:01
513000 -- [-1137.799] (-1149.921) (-1201.786) (-1141.289) * [-1133.140] (-1206.689) (-1143.606) (-1137.907) -- 0:04:00
514000 -- [-1132.866] (-1149.351) (-1193.617) (-1138.157) * [-1132.297] (-1203.068) (-1143.196) (-1144.962) -- 0:04:00
515000 -- [-1132.103] (-1134.972) (-1195.279) (-1135.522) * (-1151.541) (-1192.092) [-1141.334] (-1133.764) -- 0:03:59
Average standard deviation of split frequencies: 0.008862
516000 -- [-1135.093] (-1138.227) (-1199.548) (-1139.489) * (-1150.778) (-1202.362) [-1133.182] (-1139.292) -- 0:03:59
517000 -- [-1136.901] (-1144.182) (-1214.587) (-1141.640) * (-1146.573) (-1203.314) [-1132.994] (-1134.474) -- 0:03:58
518000 -- (-1136.176) [-1135.259] (-1203.062) (-1161.224) * (-1151.502) (-1195.860) [-1132.824] (-1142.498) -- 0:03:58
519000 -- (-1136.120) [-1132.925] (-1200.573) (-1160.026) * (-1148.525) (-1193.186) [-1133.999] (-1142.338) -- 0:03:57
520000 -- (-1137.410) [-1140.044] (-1199.010) (-1164.400) * (-1153.983) (-1193.584) [-1137.572] (-1146.306) -- 0:03:57
Average standard deviation of split frequencies: 0.009170
521000 -- [-1139.945] (-1132.441) (-1206.125) (-1158.433) * [-1138.736] (-1194.901) (-1132.962) (-1153.417) -- 0:03:56
522000 -- (-1148.563) [-1131.882] (-1204.707) (-1153.374) * [-1133.306] (-1190.939) (-1141.030) (-1154.375) -- 0:03:56
523000 -- (-1149.257) [-1124.155] (-1200.912) (-1138.156) * (-1139.775) (-1195.671) [-1131.342] (-1150.912) -- 0:03:55
524000 -- (-1147.893) [-1129.920] (-1189.386) (-1142.873) * [-1132.436] (-1203.327) (-1140.823) (-1148.799) -- 0:03:55
525000 -- (-1140.985) [-1140.750] (-1195.432) (-1147.992) * (-1142.008) (-1203.784) [-1133.164] (-1163.369) -- 0:03:54
Average standard deviation of split frequencies: 0.008850
526000 -- (-1147.779) [-1138.601] (-1194.169) (-1147.859) * [-1137.640] (-1198.393) (-1130.856) (-1150.376) -- 0:03:54
527000 -- (-1146.164) [-1137.541] (-1199.505) (-1147.591) * [-1135.260] (-1199.976) (-1139.463) (-1150.944) -- 0:03:53
528000 -- (-1149.270) [-1143.487] (-1202.633) (-1144.464) * (-1144.463) (-1192.322) [-1133.421] (-1149.731) -- 0:03:53
529000 -- (-1142.057) [-1137.566] (-1206.023) (-1138.862) * (-1141.092) (-1192.029) [-1128.711] (-1141.107) -- 0:03:52
530000 -- (-1151.683) [-1135.523] (-1202.259) (-1130.380) * [-1142.066] (-1199.036) (-1137.315) (-1146.370) -- 0:03:52
Average standard deviation of split frequencies: 0.008750
531000 -- (-1143.412) (-1131.741) (-1196.797) [-1131.480] * (-1139.357) (-1195.506) [-1136.737] (-1146.430) -- 0:03:51
532000 -- (-1145.780) [-1138.236] (-1202.812) (-1144.596) * (-1156.768) (-1198.401) [-1135.001] (-1137.134) -- 0:03:51
533000 -- (-1132.365) (-1141.178) (-1201.074) [-1127.646] * (-1162.073) (-1199.480) [-1142.648] (-1145.994) -- 0:03:50
534000 -- [-1136.985] (-1153.886) (-1196.592) (-1134.263) * (-1165.044) (-1205.141) (-1131.339) [-1138.428] -- 0:03:50
535000 -- (-1139.899) (-1146.425) (-1200.270) [-1132.923] * (-1166.176) (-1205.639) [-1134.327] (-1131.940) -- 0:03:49
Average standard deviation of split frequencies: 0.008487
536000 -- [-1141.693] (-1143.808) (-1207.717) (-1132.952) * (-1151.945) (-1209.756) (-1137.878) [-1143.306] -- 0:03:49
537000 -- (-1141.276) (-1148.715) (-1206.032) [-1135.149] * (-1147.456) (-1201.620) [-1132.504] (-1136.223) -- 0:03:48
538000 -- (-1133.916) [-1139.191] (-1196.444) (-1134.094) * (-1143.854) (-1203.006) (-1144.274) [-1131.877] -- 0:03:48
539000 -- [-1130.393] (-1153.973) (-1196.755) (-1133.660) * (-1154.027) (-1194.081) [-1137.245] (-1139.626) -- 0:03:47
540000 -- [-1132.169] (-1151.552) (-1201.538) (-1133.035) * (-1134.357) (-1202.423) [-1136.903] (-1150.303) -- 0:03:47
Average standard deviation of split frequencies: 0.008261
541000 -- (-1134.443) (-1158.873) (-1203.153) [-1128.980] * (-1145.814) (-1208.974) [-1133.814] (-1133.507) -- 0:03:46
542000 -- (-1138.989) (-1148.063) (-1202.933) [-1133.337] * (-1134.862) (-1206.455) [-1139.044] (-1154.512) -- 0:03:45
543000 -- (-1137.988) (-1142.567) (-1197.581) [-1132.307] * (-1148.557) (-1200.916) [-1136.962] (-1150.491) -- 0:03:45
544000 -- [-1145.003] (-1146.554) (-1194.202) (-1135.117) * (-1145.692) (-1191.472) [-1138.021] (-1137.425) -- 0:03:44
545000 -- (-1138.763) (-1145.515) (-1204.507) [-1138.300] * (-1158.708) (-1195.548) [-1139.561] (-1140.737) -- 0:03:44
Average standard deviation of split frequencies: 0.008310
546000 -- (-1148.720) (-1150.948) (-1205.414) [-1140.052] * (-1149.117) (-1197.691) [-1152.802] (-1134.055) -- 0:03:43
547000 -- [-1136.964] (-1142.651) (-1210.993) (-1134.383) * (-1137.152) (-1210.353) [-1147.853] (-1132.823) -- 0:03:43
548000 -- [-1136.319] (-1148.053) (-1203.114) (-1134.730) * [-1135.100] (-1200.359) (-1150.488) (-1137.790) -- 0:03:42
549000 -- (-1134.018) [-1137.029] (-1206.981) (-1145.560) * (-1127.800) (-1197.318) (-1138.650) [-1135.994] -- 0:03:42
550000 -- [-1138.444] (-1143.565) (-1213.290) (-1155.972) * [-1135.144] (-1203.549) (-1141.904) (-1129.176) -- 0:03:41
Average standard deviation of split frequencies: 0.008197
551000 -- (-1144.188) [-1136.680] (-1191.863) (-1144.239) * [-1136.059] (-1197.308) (-1142.537) (-1145.433) -- 0:03:41
552000 -- (-1135.558) [-1140.376] (-1209.101) (-1155.931) * [-1137.946] (-1195.410) (-1144.176) (-1152.380) -- 0:03:40
553000 -- (-1141.861) [-1144.351] (-1207.010) (-1134.431) * (-1141.547) (-1197.377) [-1135.011] (-1154.300) -- 0:03:40
554000 -- (-1138.260) (-1151.000) (-1217.219) [-1132.267] * (-1127.487) (-1199.543) [-1134.583] (-1161.195) -- 0:03:39
555000 -- (-1141.272) (-1158.625) (-1202.693) [-1137.090] * (-1144.233) (-1192.123) [-1133.011] (-1151.788) -- 0:03:39
Average standard deviation of split frequencies: 0.008224
556000 -- (-1136.068) (-1148.237) (-1207.975) [-1130.734] * [-1128.509] (-1198.090) (-1132.547) (-1152.100) -- 0:03:38
557000 -- (-1148.621) (-1141.623) (-1199.065) [-1135.577] * [-1140.374] (-1204.552) (-1150.113) (-1141.467) -- 0:03:38
558000 -- (-1140.678) (-1153.535) (-1212.252) [-1130.707] * [-1142.946] (-1196.416) (-1136.647) (-1147.452) -- 0:03:37
559000 -- (-1154.743) (-1149.588) (-1198.313) [-1137.491] * (-1140.227) (-1203.364) [-1132.615] (-1147.275) -- 0:03:37
560000 -- (-1143.513) (-1161.727) (-1196.068) [-1141.168] * (-1145.415) (-1202.183) [-1128.215] (-1146.020) -- 0:03:36
Average standard deviation of split frequencies: 0.008366
561000 -- (-1149.920) (-1140.964) (-1200.340) [-1132.363] * (-1135.562) (-1194.999) [-1131.494] (-1145.574) -- 0:03:36
562000 -- (-1166.883) (-1127.248) (-1214.195) [-1137.766] * (-1138.690) (-1189.475) [-1138.030] (-1151.531) -- 0:03:35
563000 -- (-1154.911) [-1136.222] (-1220.438) (-1137.333) * (-1143.106) (-1195.206) [-1131.992] (-1148.287) -- 0:03:35
564000 -- (-1157.491) [-1137.014] (-1199.082) (-1135.948) * (-1145.022) (-1216.067) [-1134.037] (-1138.074) -- 0:03:34
565000 -- (-1148.335) [-1144.965] (-1195.461) (-1143.874) * (-1140.931) (-1203.674) [-1131.032] (-1160.450) -- 0:03:34
Average standard deviation of split frequencies: 0.008745
566000 -- (-1160.409) [-1132.584] (-1193.439) (-1135.421) * (-1143.248) (-1201.269) [-1134.748] (-1150.239) -- 0:03:33
567000 -- (-1161.154) [-1129.608] (-1189.405) (-1143.781) * (-1139.591) (-1209.208) (-1141.088) [-1130.004] -- 0:03:33
568000 -- (-1166.242) (-1149.340) (-1183.452) [-1142.090] * (-1154.593) (-1217.274) (-1136.961) [-1131.589] -- 0:03:32
569000 -- (-1135.523) [-1138.724] (-1191.602) (-1148.929) * (-1143.337) (-1203.256) (-1142.601) [-1134.682] -- 0:03:32
570000 -- (-1135.614) (-1163.485) (-1208.644) [-1136.809] * (-1134.465) (-1205.861) (-1140.277) [-1134.457] -- 0:03:31
Average standard deviation of split frequencies: 0.008664
571000 -- (-1141.271) (-1157.387) (-1199.511) [-1140.939] * [-1128.124] (-1188.828) (-1143.336) (-1131.646) -- 0:03:31
572000 -- [-1129.826] (-1165.643) (-1200.792) (-1146.288) * (-1138.657) (-1205.526) [-1139.216] (-1143.650) -- 0:03:31
573000 -- [-1133.276] (-1155.016) (-1201.361) (-1138.332) * (-1140.436) (-1204.979) [-1134.333] (-1154.611) -- 0:03:30
574000 -- (-1135.774) (-1144.217) (-1200.797) [-1134.590] * [-1130.696] (-1203.499) (-1142.766) (-1160.382) -- 0:03:30
575000 -- [-1129.647] (-1139.428) (-1199.906) (-1144.334) * (-1138.583) (-1201.504) [-1134.358] (-1155.044) -- 0:03:29
Average standard deviation of split frequencies: 0.008603
576000 -- [-1132.381] (-1148.798) (-1205.750) (-1139.818) * [-1131.710] (-1192.631) (-1139.357) (-1132.468) -- 0:03:29
577000 -- [-1138.583] (-1136.256) (-1207.334) (-1150.429) * [-1136.070] (-1201.236) (-1138.187) (-1143.979) -- 0:03:28
578000 -- (-1131.227) (-1142.416) (-1198.168) [-1132.693] * (-1147.185) (-1206.741) [-1137.646] (-1138.600) -- 0:03:28
579000 -- (-1146.682) (-1137.722) (-1194.738) [-1136.487] * [-1128.632] (-1197.472) (-1150.914) (-1141.611) -- 0:03:27
580000 -- (-1155.113) [-1134.125] (-1202.740) (-1139.147) * (-1133.284) (-1200.066) (-1144.263) [-1133.876] -- 0:03:27
Average standard deviation of split frequencies: 0.008784
581000 -- (-1145.053) (-1146.885) (-1202.804) [-1138.136] * [-1132.408] (-1195.811) (-1147.869) (-1133.825) -- 0:03:26
582000 -- (-1142.139) (-1149.400) (-1194.127) [-1135.243] * (-1144.251) (-1194.436) (-1146.968) [-1135.710] -- 0:03:26
583000 -- (-1142.174) (-1161.922) (-1195.638) [-1136.142] * (-1154.172) (-1200.814) (-1146.042) [-1140.347] -- 0:03:25
584000 -- [-1132.725] (-1139.691) (-1190.778) (-1135.259) * (-1136.716) (-1203.696) [-1137.334] (-1145.007) -- 0:03:25
585000 -- [-1134.386] (-1141.433) (-1199.268) (-1134.327) * (-1137.709) (-1193.142) [-1135.485] (-1154.325) -- 0:03:25
Average standard deviation of split frequencies: 0.008648
586000 -- [-1131.978] (-1147.608) (-1196.219) (-1131.715) * (-1148.826) (-1204.277) (-1133.715) [-1129.362] -- 0:03:24
587000 -- [-1137.922] (-1157.387) (-1195.174) (-1140.542) * (-1134.701) (-1204.423) (-1136.624) [-1139.339] -- 0:03:24
588000 -- (-1131.805) [-1131.862] (-1196.126) (-1143.517) * (-1138.143) (-1198.205) [-1139.038] (-1141.118) -- 0:03:23
589000 -- (-1131.847) [-1134.680] (-1204.285) (-1133.568) * (-1147.782) (-1200.669) (-1143.995) [-1140.556] -- 0:03:23
590000 -- (-1145.841) [-1134.133] (-1201.632) (-1140.793) * (-1141.333) (-1196.316) (-1141.388) [-1128.354] -- 0:03:22
Average standard deviation of split frequencies: 0.008721
591000 -- (-1142.642) [-1130.984] (-1190.165) (-1140.636) * [-1141.038] (-1198.678) (-1133.594) (-1129.842) -- 0:03:22
592000 -- (-1140.546) (-1135.003) (-1189.532) [-1136.722] * [-1143.273] (-1207.872) (-1143.421) (-1128.519) -- 0:03:21
593000 -- (-1149.176) [-1133.486] (-1198.099) (-1136.436) * (-1142.542) (-1197.412) (-1153.083) [-1138.009] -- 0:03:21
594000 -- (-1135.537) (-1143.567) (-1201.004) [-1135.853] * [-1134.231] (-1201.619) (-1146.393) (-1141.029) -- 0:03:20
595000 -- (-1139.703) [-1137.317] (-1192.397) (-1138.244) * [-1126.246] (-1200.545) (-1157.001) (-1140.265) -- 0:03:20
Average standard deviation of split frequencies: 0.008585
596000 -- (-1135.970) (-1144.117) (-1197.957) [-1130.202] * (-1140.949) (-1189.375) (-1157.200) [-1130.445] -- 0:03:19
597000 -- [-1137.293] (-1145.220) (-1198.531) (-1135.542) * (-1139.460) (-1195.412) (-1147.358) [-1141.154] -- 0:03:19
598000 -- (-1135.137) (-1148.095) (-1205.628) [-1137.455] * (-1154.986) (-1194.981) (-1132.062) [-1128.084] -- 0:03:18
599000 -- (-1136.672) (-1146.296) (-1202.656) [-1139.057] * (-1145.861) (-1194.265) (-1142.377) [-1133.009] -- 0:03:18
600000 -- (-1143.329) (-1145.892) (-1193.214) [-1135.097] * [-1143.784] (-1198.058) (-1145.113) (-1140.582) -- 0:03:17
Average standard deviation of split frequencies: 0.008711
601000 -- (-1151.025) (-1138.190) (-1205.561) [-1128.433] * [-1141.782] (-1210.658) (-1140.215) (-1144.576) -- 0:03:16
602000 -- (-1152.967) (-1146.745) (-1209.599) [-1132.549] * (-1155.002) (-1195.170) [-1135.533] (-1129.862) -- 0:03:16
603000 -- (-1156.296) (-1128.082) (-1190.186) [-1135.376] * [-1132.092] (-1202.341) (-1133.062) (-1139.214) -- 0:03:15
604000 -- (-1144.711) [-1134.688] (-1193.735) (-1134.326) * [-1136.376] (-1199.004) (-1131.274) (-1134.482) -- 0:03:15
605000 -- (-1158.126) [-1137.887] (-1191.992) (-1134.597) * (-1136.724) (-1196.482) (-1144.654) [-1132.610] -- 0:03:14
Average standard deviation of split frequencies: 0.008291
606000 -- (-1152.648) [-1135.051] (-1196.903) (-1157.555) * (-1139.086) (-1197.380) [-1136.372] (-1146.763) -- 0:03:14
607000 -- (-1166.227) (-1132.549) (-1211.494) [-1138.254] * (-1138.520) (-1198.378) [-1138.403] (-1140.849) -- 0:03:13
608000 -- (-1152.883) [-1142.949] (-1203.580) (-1137.667) * (-1154.947) (-1193.209) [-1141.517] (-1149.152) -- 0:03:13
609000 -- (-1158.224) (-1139.297) (-1204.706) [-1146.631] * (-1153.869) (-1201.962) [-1135.702] (-1144.033) -- 0:03:12
610000 -- (-1150.288) [-1130.527] (-1209.689) (-1134.753) * (-1133.590) (-1205.834) [-1140.001] (-1144.740) -- 0:03:12
Average standard deviation of split frequencies: 0.008548
611000 -- (-1151.919) [-1136.793] (-1195.048) (-1146.275) * [-1140.254] (-1193.247) (-1144.415) (-1156.690) -- 0:03:11
612000 -- (-1136.005) [-1128.558] (-1196.803) (-1159.203) * [-1148.550] (-1195.396) (-1138.483) (-1148.928) -- 0:03:11
613000 -- (-1154.531) [-1135.886] (-1193.890) (-1152.382) * [-1140.168] (-1202.365) (-1135.167) (-1147.296) -- 0:03:10
614000 -- (-1137.075) [-1128.539] (-1197.326) (-1150.896) * [-1145.927] (-1199.622) (-1130.386) (-1150.047) -- 0:03:10
615000 -- (-1150.885) [-1133.081] (-1201.247) (-1153.881) * (-1158.587) (-1201.950) [-1139.424] (-1137.765) -- 0:03:09
Average standard deviation of split frequencies: 0.008623
616000 -- (-1143.519) [-1135.892] (-1203.377) (-1141.670) * (-1160.927) (-1203.805) [-1139.501] (-1134.126) -- 0:03:09
617000 -- (-1145.848) [-1138.097] (-1196.315) (-1141.298) * (-1152.441) (-1206.188) [-1129.298] (-1134.378) -- 0:03:08
618000 -- (-1154.258) (-1156.013) (-1194.911) [-1139.847] * (-1144.846) (-1215.296) (-1137.023) [-1145.052] -- 0:03:08
619000 -- (-1149.152) [-1139.826] (-1189.796) (-1139.758) * [-1147.421] (-1209.099) (-1142.056) (-1145.569) -- 0:03:07
620000 -- (-1142.026) (-1143.578) (-1196.521) [-1143.900] * (-1146.561) (-1207.057) [-1136.646] (-1145.584) -- 0:03:07
Average standard deviation of split frequencies: 0.008984
621000 -- (-1151.030) [-1130.557] (-1201.893) (-1132.235) * [-1134.294] (-1201.343) (-1155.422) (-1134.074) -- 0:03:06
622000 -- (-1152.685) [-1137.992] (-1196.250) (-1134.492) * (-1141.064) (-1200.379) (-1152.268) [-1126.842] -- 0:03:06
623000 -- (-1162.397) [-1137.001] (-1211.172) (-1152.204) * (-1147.246) (-1203.957) [-1137.203] (-1139.408) -- 0:03:05
624000 -- (-1139.667) [-1131.423] (-1202.729) (-1142.666) * (-1137.296) (-1205.399) [-1139.554] (-1155.253) -- 0:03:05
625000 -- (-1135.205) [-1129.520] (-1209.216) (-1136.719) * (-1132.259) (-1197.581) (-1130.913) [-1140.619] -- 0:03:04
Average standard deviation of split frequencies: 0.008981
626000 -- (-1136.541) (-1141.948) (-1210.376) [-1134.333] * (-1143.158) (-1198.628) [-1134.012] (-1140.052) -- 0:03:04
627000 -- (-1157.111) [-1138.094] (-1206.040) (-1131.818) * (-1160.518) (-1192.828) [-1131.979] (-1139.810) -- 0:03:03
628000 -- (-1151.553) [-1131.973] (-1205.793) (-1136.146) * (-1159.285) (-1195.385) [-1129.166] (-1136.518) -- 0:03:03
629000 -- (-1149.305) [-1138.167] (-1201.688) (-1132.173) * [-1135.431] (-1195.875) (-1143.398) (-1132.536) -- 0:03:02
630000 -- (-1143.325) [-1133.757] (-1207.019) (-1141.855) * (-1141.863) (-1201.864) [-1135.144] (-1144.851) -- 0:03:02
Average standard deviation of split frequencies: 0.009024
631000 -- [-1143.103] (-1147.361) (-1217.189) (-1148.504) * [-1150.818] (-1193.323) (-1139.452) (-1155.902) -- 0:03:01
632000 -- (-1140.460) [-1134.182] (-1214.019) (-1147.924) * (-1145.116) (-1211.591) [-1136.274] (-1150.991) -- 0:03:01
633000 -- (-1143.559) [-1130.380] (-1208.217) (-1158.467) * (-1149.650) (-1195.559) [-1130.055] (-1155.601) -- 0:03:00
634000 -- (-1134.200) [-1134.515] (-1203.409) (-1166.025) * (-1136.248) (-1199.557) [-1131.821] (-1140.548) -- 0:03:00
635000 -- [-1128.461] (-1132.779) (-1197.321) (-1155.820) * (-1138.460) (-1207.161) [-1140.464] (-1133.854) -- 0:02:59
Average standard deviation of split frequencies: 0.009024
636000 -- [-1129.952] (-1141.211) (-1202.992) (-1172.761) * (-1139.665) (-1210.566) (-1137.242) [-1141.278] -- 0:02:59
637000 -- (-1134.951) [-1141.144] (-1196.053) (-1164.801) * (-1140.089) (-1210.178) [-1130.344] (-1135.984) -- 0:02:58
638000 -- [-1144.123] (-1150.641) (-1205.292) (-1156.840) * (-1136.701) (-1203.722) (-1147.041) [-1134.149] -- 0:02:58
639000 -- [-1135.892] (-1136.928) (-1212.907) (-1156.755) * (-1141.835) (-1191.487) (-1146.052) [-1133.316] -- 0:02:57
640000 -- [-1131.512] (-1143.314) (-1211.684) (-1150.952) * [-1133.653] (-1199.520) (-1140.418) (-1138.095) -- 0:02:57
Average standard deviation of split frequencies: 0.008793
641000 -- (-1148.302) [-1136.005] (-1209.344) (-1133.214) * (-1138.353) (-1207.175) (-1137.309) [-1134.771] -- 0:02:56
642000 -- (-1145.765) [-1129.413] (-1204.179) (-1146.843) * [-1143.217] (-1203.361) (-1135.709) (-1134.994) -- 0:02:56
643000 -- (-1135.000) [-1135.781] (-1206.160) (-1148.787) * (-1155.481) (-1198.502) (-1163.289) [-1139.565] -- 0:02:56
644000 -- (-1141.545) [-1133.303] (-1204.439) (-1144.881) * (-1153.570) (-1193.048) (-1149.629) [-1137.527] -- 0:02:55
645000 -- (-1143.229) [-1130.130] (-1208.903) (-1140.849) * [-1139.709] (-1194.636) (-1149.879) (-1149.471) -- 0:02:55
Average standard deviation of split frequencies: 0.008543
646000 -- (-1131.864) [-1128.368] (-1195.992) (-1140.744) * (-1137.356) (-1213.909) (-1154.311) [-1139.946] -- 0:02:54
647000 -- (-1138.206) [-1134.426] (-1203.250) (-1141.917) * [-1140.512] (-1207.077) (-1143.936) (-1145.650) -- 0:02:54
648000 -- (-1140.373) [-1133.659] (-1190.234) (-1148.048) * [-1132.249] (-1197.686) (-1153.230) (-1129.653) -- 0:02:53
649000 -- (-1144.373) (-1142.589) (-1209.478) [-1138.159] * (-1145.748) (-1201.732) (-1144.337) [-1139.528] -- 0:02:53
650000 -- [-1134.756] (-1142.869) (-1202.552) (-1150.292) * (-1139.566) (-1209.662) (-1150.379) [-1138.714] -- 0:02:52
Average standard deviation of split frequencies: 0.008458
651000 -- [-1135.283] (-1137.268) (-1205.846) (-1143.619) * (-1140.181) (-1208.037) (-1152.995) [-1129.285] -- 0:02:52
652000 -- [-1139.306] (-1134.117) (-1197.095) (-1145.242) * (-1134.925) (-1188.117) (-1133.340) [-1131.264] -- 0:02:51
653000 -- (-1138.729) [-1136.263] (-1183.624) (-1142.995) * (-1141.113) (-1195.887) (-1137.502) [-1140.055] -- 0:02:51
654000 -- (-1141.463) [-1132.376] (-1199.171) (-1152.063) * (-1134.225) (-1208.129) (-1143.548) [-1132.350] -- 0:02:50
655000 -- (-1144.675) [-1141.074] (-1207.732) (-1147.490) * (-1136.029) (-1195.147) [-1142.868] (-1146.435) -- 0:02:50
Average standard deviation of split frequencies: 0.008318
656000 -- (-1141.380) [-1138.711] (-1197.661) (-1150.651) * (-1140.303) (-1198.530) [-1145.495] (-1137.018) -- 0:02:49
657000 -- [-1142.547] (-1138.570) (-1196.686) (-1137.445) * [-1133.440] (-1207.268) (-1143.986) (-1145.322) -- 0:02:49
658000 -- (-1144.981) [-1134.575] (-1201.245) (-1137.697) * (-1133.558) (-1205.029) (-1153.645) [-1129.685] -- 0:02:48
659000 -- [-1137.745] (-1136.469) (-1201.691) (-1141.428) * (-1144.131) (-1194.455) (-1153.045) [-1131.652] -- 0:02:48
660000 -- [-1133.978] (-1135.827) (-1193.205) (-1158.440) * (-1137.858) (-1215.334) (-1133.332) [-1130.466] -- 0:02:47
Average standard deviation of split frequencies: 0.008152
661000 -- [-1137.816] (-1143.872) (-1203.620) (-1167.795) * [-1142.494] (-1209.945) (-1138.630) (-1142.428) -- 0:02:47
662000 -- [-1131.200] (-1141.276) (-1214.617) (-1141.347) * (-1142.107) (-1202.354) [-1143.611] (-1156.191) -- 0:02:46
663000 -- [-1135.103] (-1152.565) (-1201.640) (-1135.737) * (-1139.145) (-1202.353) (-1139.637) [-1134.161] -- 0:02:46
664000 -- [-1138.363] (-1134.328) (-1220.544) (-1140.437) * (-1134.704) (-1202.916) [-1143.113] (-1138.440) -- 0:02:45
665000 -- (-1145.808) [-1135.155] (-1216.943) (-1148.735) * (-1133.999) (-1200.779) (-1133.208) [-1133.864] -- 0:02:45
Average standard deviation of split frequencies: 0.007803
666000 -- (-1143.640) (-1128.107) (-1220.409) [-1141.039] * (-1139.509) (-1210.107) (-1145.119) [-1143.669] -- 0:02:44
667000 -- (-1141.868) (-1138.206) (-1205.134) [-1134.176] * (-1131.069) (-1218.124) (-1153.591) [-1138.248] -- 0:02:44
668000 -- (-1143.331) [-1139.405] (-1204.924) (-1143.698) * [-1128.868] (-1204.720) (-1150.307) (-1141.037) -- 0:02:44
669000 -- (-1147.288) (-1142.607) (-1209.329) [-1137.719] * [-1140.969] (-1204.169) (-1145.857) (-1142.440) -- 0:02:43
670000 -- (-1141.080) (-1143.261) (-1210.711) [-1141.999] * [-1130.652] (-1202.943) (-1159.326) (-1136.677) -- 0:02:43
Average standard deviation of split frequencies: 0.007955
671000 -- (-1137.133) [-1128.823] (-1206.965) (-1135.855) * (-1139.810) (-1211.943) (-1149.453) [-1130.369] -- 0:02:42
672000 -- (-1144.985) (-1136.869) (-1207.790) [-1140.924] * (-1135.440) (-1199.393) [-1138.302] (-1135.553) -- 0:02:42
673000 -- (-1143.122) [-1131.134] (-1194.032) (-1137.634) * (-1138.013) (-1212.243) (-1145.847) [-1137.182] -- 0:02:41
674000 -- (-1159.845) (-1142.500) (-1199.402) [-1127.908] * [-1139.040] (-1202.343) (-1146.936) (-1138.410) -- 0:02:41
675000 -- (-1138.766) (-1142.882) (-1198.628) [-1130.933] * (-1137.690) (-1200.926) (-1144.930) [-1127.302] -- 0:02:40
Average standard deviation of split frequencies: 0.008470
676000 -- (-1143.372) [-1140.539] (-1201.617) (-1134.240) * [-1132.698] (-1189.581) (-1142.287) (-1133.099) -- 0:02:40
677000 -- (-1145.376) (-1127.504) (-1201.024) [-1130.850] * (-1144.848) (-1195.726) (-1153.644) [-1133.863] -- 0:02:39
678000 -- (-1142.077) [-1135.620] (-1201.147) (-1135.642) * [-1135.129] (-1214.189) (-1149.944) (-1137.073) -- 0:02:39
679000 -- (-1140.760) [-1132.945] (-1195.443) (-1139.504) * [-1135.565] (-1213.089) (-1161.227) (-1149.546) -- 0:02:38
680000 -- [-1132.284] (-1139.101) (-1200.500) (-1142.224) * [-1138.693] (-1191.433) (-1147.643) (-1153.614) -- 0:02:38
Average standard deviation of split frequencies: 0.007939
681000 -- [-1132.886] (-1137.156) (-1183.971) (-1147.771) * (-1147.885) (-1206.732) [-1139.349] (-1148.316) -- 0:02:37
682000 -- (-1134.560) (-1141.190) (-1198.093) [-1140.458] * (-1156.627) (-1193.098) [-1139.764] (-1150.836) -- 0:02:37
683000 -- (-1141.451) (-1143.453) (-1208.144) [-1131.936] * (-1139.400) (-1192.590) [-1139.439] (-1144.317) -- 0:02:36
684000 -- (-1142.107) (-1140.729) (-1196.094) [-1132.940] * (-1143.934) (-1205.598) [-1136.431] (-1143.506) -- 0:02:36
685000 -- (-1132.753) (-1137.420) (-1220.707) [-1134.032] * (-1147.971) (-1202.039) (-1143.184) [-1135.134] -- 0:02:35
Average standard deviation of split frequencies: 0.007995
686000 -- (-1163.398) [-1132.448] (-1198.942) (-1131.490) * (-1166.124) (-1202.648) [-1135.709] (-1141.236) -- 0:02:35
687000 -- (-1172.378) (-1142.848) (-1208.131) [-1142.164] * (-1154.898) (-1193.212) [-1132.043] (-1141.730) -- 0:02:34
688000 -- (-1146.875) [-1135.964] (-1194.848) (-1151.560) * (-1147.656) (-1192.018) [-1128.554] (-1146.989) -- 0:02:34
689000 -- (-1162.466) [-1131.304] (-1203.124) (-1149.343) * (-1142.483) (-1201.352) (-1131.657) [-1133.573] -- 0:02:33
690000 -- [-1137.756] (-1151.793) (-1197.499) (-1140.996) * (-1152.640) (-1189.055) (-1137.251) [-1132.032] -- 0:02:33
Average standard deviation of split frequencies: 0.008157
691000 -- (-1131.892) (-1151.953) (-1191.219) [-1146.180] * (-1151.103) (-1212.851) [-1135.617] (-1136.568) -- 0:02:32
692000 -- [-1137.292] (-1153.192) (-1199.795) (-1150.840) * (-1143.045) (-1196.347) [-1134.859] (-1135.976) -- 0:02:32
693000 -- [-1141.643] (-1142.396) (-1194.916) (-1134.606) * (-1155.604) (-1203.303) (-1138.554) [-1134.508] -- 0:02:31
694000 -- [-1140.652] (-1168.830) (-1206.150) (-1135.300) * (-1161.051) (-1205.162) (-1138.466) [-1135.290] -- 0:02:31
695000 -- [-1129.253] (-1163.770) (-1203.297) (-1137.904) * (-1140.441) (-1218.271) [-1137.239] (-1136.850) -- 0:02:30
Average standard deviation of split frequencies: 0.008077
696000 -- [-1137.761] (-1151.679) (-1194.283) (-1128.575) * (-1155.663) (-1196.132) [-1133.996] (-1136.885) -- 0:02:30
697000 -- [-1134.123] (-1143.307) (-1210.734) (-1134.724) * (-1150.248) (-1200.153) (-1138.825) [-1128.800] -- 0:02:29
698000 -- [-1132.376] (-1143.651) (-1202.163) (-1133.930) * (-1147.481) (-1189.692) (-1141.621) [-1138.078] -- 0:02:29
699000 -- (-1143.648) (-1135.432) (-1196.022) [-1139.876] * [-1141.377] (-1201.818) (-1144.016) (-1151.816) -- 0:02:28
700000 -- (-1140.048) [-1143.167] (-1200.179) (-1136.707) * (-1150.680) (-1202.447) [-1130.263] (-1148.401) -- 0:02:28
Average standard deviation of split frequencies: 0.008023
701000 -- (-1155.040) (-1132.054) (-1196.963) [-1137.968] * (-1139.294) (-1192.373) [-1135.397] (-1148.368) -- 0:02:27
702000 -- (-1152.749) (-1136.388) (-1201.856) [-1132.434] * (-1133.518) (-1190.280) [-1141.832] (-1145.735) -- 0:02:27
703000 -- (-1147.685) (-1140.148) (-1197.474) [-1139.078] * (-1137.583) (-1191.150) [-1133.085] (-1142.873) -- 0:02:26
704000 -- (-1148.624) [-1139.029] (-1201.706) (-1128.233) * (-1134.736) (-1200.301) [-1138.732] (-1131.693) -- 0:02:26
705000 -- (-1136.412) [-1141.429] (-1194.349) (-1135.477) * [-1127.830] (-1200.569) (-1138.806) (-1143.282) -- 0:02:25
Average standard deviation of split frequencies: 0.007846
706000 -- (-1140.773) (-1155.756) (-1201.386) [-1147.476] * [-1128.542] (-1198.964) (-1139.148) (-1140.593) -- 0:02:25
707000 -- (-1139.976) [-1140.236] (-1190.645) (-1138.555) * [-1135.082] (-1195.666) (-1139.396) (-1144.726) -- 0:02:24
708000 -- (-1152.932) [-1132.254] (-1201.228) (-1131.443) * [-1131.579] (-1200.443) (-1138.728) (-1144.429) -- 0:02:24
709000 -- (-1144.199) [-1132.551] (-1194.267) (-1140.459) * [-1133.711] (-1192.049) (-1137.940) (-1147.606) -- 0:02:23
710000 -- (-1141.314) [-1133.701] (-1202.214) (-1133.079) * [-1130.063] (-1205.580) (-1134.916) (-1138.615) -- 0:02:23
Average standard deviation of split frequencies: 0.007661
711000 -- (-1150.057) (-1132.297) (-1204.976) [-1128.225] * [-1133.474] (-1194.433) (-1142.913) (-1143.905) -- 0:02:22
712000 -- (-1143.885) (-1133.316) (-1202.431) [-1131.830] * (-1145.790) (-1199.870) [-1135.192] (-1152.784) -- 0:02:22
713000 -- (-1144.612) [-1137.538] (-1205.165) (-1146.440) * [-1130.728] (-1207.115) (-1155.519) (-1147.303) -- 0:02:21
714000 -- [-1136.252] (-1141.095) (-1197.007) (-1158.413) * (-1134.600) (-1193.983) [-1138.382] (-1151.985) -- 0:02:20
715000 -- [-1145.750] (-1149.728) (-1200.700) (-1130.837) * (-1152.232) (-1200.766) [-1140.852] (-1149.993) -- 0:02:20
Average standard deviation of split frequencies: 0.007687
716000 -- [-1141.382] (-1154.873) (-1206.360) (-1147.223) * (-1143.659) (-1197.792) [-1133.667] (-1134.947) -- 0:02:20
717000 -- [-1142.498] (-1143.814) (-1192.004) (-1145.345) * (-1145.842) (-1209.167) [-1133.662] (-1138.668) -- 0:02:19
718000 -- [-1135.025] (-1150.049) (-1213.433) (-1149.877) * (-1154.746) (-1192.331) [-1133.569] (-1135.139) -- 0:02:19
719000 -- (-1144.155) (-1158.218) (-1200.210) [-1129.916] * (-1151.132) (-1191.046) (-1139.211) [-1136.285] -- 0:02:18
720000 -- (-1137.672) (-1140.558) (-1195.938) [-1136.768] * (-1137.641) (-1186.618) (-1137.469) [-1134.872] -- 0:02:18
Average standard deviation of split frequencies: 0.007604
721000 -- [-1131.284] (-1149.799) (-1201.568) (-1138.591) * [-1140.046] (-1191.686) (-1154.340) (-1137.293) -- 0:02:17
722000 -- [-1131.695] (-1148.433) (-1202.701) (-1147.966) * (-1137.394) (-1193.914) (-1152.184) [-1133.641] -- 0:02:17
723000 -- (-1137.982) (-1173.787) (-1219.224) [-1135.724] * [-1134.567] (-1202.731) (-1154.960) (-1130.107) -- 0:02:16
724000 -- [-1127.610] (-1140.541) (-1210.669) (-1139.642) * [-1132.555] (-1195.096) (-1131.065) (-1139.199) -- 0:02:16
725000 -- (-1142.607) [-1131.534] (-1207.383) (-1135.818) * (-1136.089) (-1223.187) [-1131.516] (-1139.881) -- 0:02:15
Average standard deviation of split frequencies: 0.007776
726000 -- (-1146.964) (-1137.021) (-1204.167) [-1141.925] * [-1140.385] (-1193.417) (-1147.474) (-1139.800) -- 0:02:15
727000 -- (-1142.523) [-1138.924] (-1203.634) (-1142.213) * (-1151.812) (-1202.925) (-1133.669) [-1129.688] -- 0:02:14
728000 -- (-1138.788) [-1132.972] (-1204.460) (-1151.426) * (-1148.209) (-1205.803) [-1134.549] (-1133.836) -- 0:02:14
729000 -- [-1138.055] (-1133.131) (-1195.937) (-1154.711) * (-1139.467) (-1201.162) (-1133.716) [-1127.061] -- 0:02:13
730000 -- (-1147.891) [-1133.621] (-1210.650) (-1132.251) * (-1139.873) (-1199.017) (-1138.898) [-1133.668] -- 0:02:13
Average standard deviation of split frequencies: 0.007774
731000 -- (-1139.567) [-1133.636] (-1200.546) (-1145.298) * (-1145.997) (-1205.011) (-1149.430) [-1137.859] -- 0:02:12
732000 -- (-1154.655) [-1138.248] (-1199.140) (-1144.637) * (-1145.299) (-1200.496) (-1135.940) [-1141.049] -- 0:02:12
733000 -- (-1148.205) [-1138.394] (-1200.366) (-1144.459) * (-1147.580) (-1200.853) (-1136.632) [-1136.771] -- 0:02:11
734000 -- [-1138.023] (-1159.638) (-1205.323) (-1139.497) * (-1130.558) (-1189.486) (-1166.866) [-1144.693] -- 0:02:11
735000 -- (-1132.073) (-1145.411) (-1211.771) [-1148.953] * [-1134.019] (-1198.570) (-1149.281) (-1129.849) -- 0:02:10
Average standard deviation of split frequencies: 0.007622
736000 -- [-1135.254] (-1158.260) (-1205.930) (-1137.588) * [-1129.120] (-1202.356) (-1149.126) (-1140.053) -- 0:02:10
737000 -- [-1130.661] (-1146.497) (-1212.266) (-1129.378) * [-1134.085] (-1215.196) (-1156.493) (-1135.398) -- 0:02:09
738000 -- [-1135.552] (-1158.002) (-1209.212) (-1135.705) * [-1136.400] (-1202.427) (-1158.980) (-1151.529) -- 0:02:09
739000 -- (-1158.362) [-1138.008] (-1185.538) (-1139.056) * [-1133.970] (-1197.888) (-1149.235) (-1140.515) -- 0:02:08
740000 -- (-1155.195) (-1142.663) (-1197.722) [-1131.573] * (-1147.591) (-1190.137) [-1137.870] (-1146.606) -- 0:02:08
Average standard deviation of split frequencies: 0.007622
741000 -- (-1146.999) [-1140.168] (-1200.908) (-1150.586) * (-1138.082) (-1203.282) [-1136.670] (-1150.521) -- 0:02:07
742000 -- (-1152.417) (-1140.283) (-1185.911) [-1136.226] * (-1130.217) (-1198.757) [-1132.089] (-1145.983) -- 0:02:07
743000 -- (-1144.759) (-1147.673) (-1196.455) [-1131.995] * (-1132.633) (-1207.165) [-1133.898] (-1150.671) -- 0:02:06
744000 -- (-1146.446) [-1149.539] (-1194.734) (-1133.913) * [-1129.219] (-1192.726) (-1139.486) (-1147.006) -- 0:02:06
745000 -- (-1157.016) [-1133.571] (-1192.072) (-1142.690) * [-1138.192] (-1200.326) (-1149.659) (-1153.057) -- 0:02:05
Average standard deviation of split frequencies: 0.007662
746000 -- (-1148.757) (-1134.556) (-1186.910) [-1135.969] * (-1138.828) (-1201.796) [-1142.278] (-1151.359) -- 0:02:05
747000 -- (-1134.518) (-1146.326) (-1188.969) [-1128.269] * [-1132.447] (-1211.463) (-1144.502) (-1139.298) -- 0:02:04
748000 -- (-1140.007) (-1133.862) (-1204.416) [-1132.769] * (-1141.579) (-1191.000) [-1136.592] (-1137.207) -- 0:02:04
749000 -- (-1136.740) [-1133.380] (-1188.287) (-1138.135) * (-1156.466) (-1193.561) [-1141.187] (-1152.757) -- 0:02:03
750000 -- (-1145.832) [-1135.571] (-1207.407) (-1145.884) * (-1168.595) (-1200.638) [-1140.824] (-1142.663) -- 0:02:03
Average standard deviation of split frequencies: 0.006986
751000 -- [-1141.084] (-1144.212) (-1205.272) (-1161.289) * (-1158.500) (-1190.226) [-1142.364] (-1139.079) -- 0:02:03
752000 -- (-1152.284) [-1137.475] (-1198.045) (-1147.044) * (-1133.813) (-1192.972) [-1138.048] (-1136.848) -- 0:02:02
753000 -- (-1154.555) [-1130.682] (-1198.025) (-1163.289) * (-1133.079) (-1200.591) [-1134.188] (-1147.969) -- 0:02:02
754000 -- (-1135.746) [-1133.515] (-1197.466) (-1135.899) * [-1131.669] (-1204.637) (-1145.793) (-1143.373) -- 0:02:01
755000 -- (-1134.460) [-1130.895] (-1198.027) (-1129.969) * [-1130.307] (-1191.429) (-1140.857) (-1146.260) -- 0:02:01
Average standard deviation of split frequencies: 0.006547
756000 -- [-1136.047] (-1135.554) (-1194.300) (-1147.748) * [-1137.328] (-1195.776) (-1141.526) (-1150.647) -- 0:02:00
757000 -- (-1145.296) (-1147.871) (-1196.792) [-1146.830] * [-1132.178] (-1204.986) (-1132.372) (-1145.863) -- 0:02:00
758000 -- (-1140.733) (-1137.871) (-1207.628) [-1142.220] * (-1146.293) (-1191.501) [-1130.002] (-1152.749) -- 0:01:59
759000 -- [-1136.863] (-1144.084) (-1198.919) (-1129.851) * [-1143.982] (-1196.242) (-1137.452) (-1143.096) -- 0:01:59
760000 -- [-1134.041] (-1144.845) (-1209.465) (-1140.544) * (-1151.435) (-1204.250) (-1139.125) [-1136.064] -- 0:01:58
Average standard deviation of split frequencies: 0.006554
761000 -- [-1143.070] (-1137.802) (-1202.036) (-1143.874) * (-1143.280) (-1211.302) (-1139.441) [-1136.899] -- 0:01:58
762000 -- [-1135.290] (-1138.587) (-1208.746) (-1139.731) * (-1158.140) (-1203.535) [-1135.363] (-1141.480) -- 0:01:57
763000 -- [-1126.410] (-1142.929) (-1200.942) (-1136.851) * (-1152.517) (-1207.101) [-1142.217] (-1139.264) -- 0:01:57
764000 -- [-1132.416] (-1135.751) (-1191.729) (-1144.355) * (-1164.902) (-1209.499) [-1137.395] (-1139.720) -- 0:01:56
765000 -- [-1143.728] (-1147.344) (-1208.487) (-1141.308) * (-1149.961) (-1195.350) (-1140.183) [-1146.883] -- 0:01:56
Average standard deviation of split frequencies: 0.006723
766000 -- [-1138.030] (-1134.235) (-1211.687) (-1159.113) * [-1138.358] (-1200.990) (-1145.351) (-1153.428) -- 0:01:55
767000 -- [-1136.711] (-1156.867) (-1208.193) (-1141.692) * (-1146.641) (-1205.037) (-1135.447) [-1133.399] -- 0:01:55
768000 -- (-1130.114) (-1146.209) (-1203.544) [-1141.452] * [-1132.318] (-1202.290) (-1140.047) (-1150.571) -- 0:01:54
769000 -- [-1131.589] (-1138.522) (-1201.099) (-1158.991) * (-1149.030) (-1201.511) [-1136.464] (-1146.617) -- 0:01:54
770000 -- [-1127.326] (-1138.640) (-1199.928) (-1136.752) * (-1138.579) (-1214.530) [-1134.954] (-1161.400) -- 0:01:53
Average standard deviation of split frequencies: 0.006790
771000 -- [-1141.721] (-1128.735) (-1211.441) (-1149.893) * (-1143.167) (-1195.247) [-1134.218] (-1140.550) -- 0:01:53
772000 -- (-1132.675) [-1135.339] (-1205.297) (-1156.498) * [-1141.211] (-1198.112) (-1155.435) (-1135.698) -- 0:01:52
773000 -- (-1148.094) [-1135.929] (-1202.821) (-1145.828) * [-1136.866] (-1184.894) (-1149.504) (-1147.668) -- 0:01:52
774000 -- (-1145.026) [-1136.721] (-1206.076) (-1147.646) * [-1130.607] (-1192.172) (-1141.649) (-1147.910) -- 0:01:51
775000 -- (-1132.585) [-1139.986] (-1210.045) (-1145.603) * [-1130.162] (-1206.338) (-1142.514) (-1154.143) -- 0:01:51
Average standard deviation of split frequencies: 0.006880
776000 -- (-1137.400) (-1130.995) (-1199.779) [-1136.059] * [-1133.851] (-1197.457) (-1124.642) (-1135.737) -- 0:01:50
777000 -- [-1139.353] (-1145.175) (-1206.935) (-1138.587) * (-1136.472) (-1205.174) (-1136.853) [-1138.036] -- 0:01:50
778000 -- [-1132.994] (-1149.457) (-1197.994) (-1136.309) * [-1139.964] (-1192.941) (-1144.138) (-1136.107) -- 0:01:49
779000 -- [-1134.596] (-1147.108) (-1216.417) (-1133.844) * [-1132.310] (-1202.095) (-1137.162) (-1135.465) -- 0:01:49
780000 -- (-1135.873) [-1138.976] (-1195.174) (-1140.289) * (-1133.266) (-1203.288) (-1138.523) [-1134.387] -- 0:01:48
Average standard deviation of split frequencies: 0.006823
781000 -- [-1136.003] (-1146.557) (-1200.388) (-1144.990) * (-1137.385) (-1202.012) [-1132.062] (-1140.658) -- 0:01:48
782000 -- [-1130.079] (-1141.584) (-1203.830) (-1155.851) * [-1129.127] (-1211.123) (-1132.317) (-1140.310) -- 0:01:47
783000 -- [-1134.099] (-1148.672) (-1195.706) (-1147.256) * (-1130.715) (-1202.327) [-1137.761] (-1135.760) -- 0:01:47
784000 -- [-1133.560] (-1142.533) (-1190.669) (-1153.709) * [-1135.778] (-1204.005) (-1136.780) (-1146.355) -- 0:01:46
785000 -- (-1143.044) [-1135.646] (-1202.463) (-1145.839) * [-1134.484] (-1197.184) (-1136.548) (-1144.248) -- 0:01:46
Average standard deviation of split frequencies: 0.007017
786000 -- (-1145.818) [-1138.959] (-1195.538) (-1134.669) * [-1132.586] (-1207.912) (-1140.709) (-1141.030) -- 0:01:45
787000 -- (-1143.239) [-1141.446] (-1209.114) (-1157.876) * [-1131.930] (-1218.746) (-1146.639) (-1144.764) -- 0:01:45
788000 -- [-1131.082] (-1133.906) (-1207.435) (-1140.886) * [-1132.014] (-1205.347) (-1133.134) (-1149.780) -- 0:01:44
789000 -- [-1134.871] (-1151.780) (-1204.149) (-1135.849) * [-1134.428] (-1208.458) (-1145.317) (-1169.205) -- 0:01:44
790000 -- [-1142.976] (-1138.145) (-1187.061) (-1145.586) * [-1128.975] (-1195.149) (-1135.185) (-1145.610) -- 0:01:43
Average standard deviation of split frequencies: 0.007050
791000 -- [-1133.319] (-1153.702) (-1183.512) (-1136.726) * [-1133.757] (-1198.002) (-1134.850) (-1141.971) -- 0:01:43
792000 -- (-1137.451) (-1132.008) (-1190.086) [-1130.721] * (-1135.579) (-1194.279) [-1138.330] (-1151.536) -- 0:01:42
793000 -- [-1139.428] (-1134.420) (-1203.524) (-1137.233) * [-1145.583] (-1211.039) (-1137.633) (-1142.901) -- 0:01:42
794000 -- [-1138.315] (-1134.485) (-1195.334) (-1141.832) * (-1145.366) (-1198.644) [-1133.691] (-1135.733) -- 0:01:41
795000 -- (-1140.362) (-1141.116) (-1204.131) [-1144.892] * (-1140.966) (-1196.459) [-1134.858] (-1129.568) -- 0:01:41
Average standard deviation of split frequencies: 0.006944
796000 -- [-1134.846] (-1144.229) (-1207.964) (-1135.972) * [-1155.811] (-1204.420) (-1134.715) (-1140.517) -- 0:01:40
797000 -- [-1130.298] (-1138.312) (-1204.944) (-1139.528) * [-1139.295] (-1196.353) (-1145.840) (-1146.366) -- 0:01:40
798000 -- (-1136.953) [-1131.228] (-1188.524) (-1142.740) * (-1142.372) (-1196.021) [-1136.137] (-1135.309) -- 0:01:39
799000 -- (-1150.784) [-1139.158] (-1192.070) (-1142.278) * (-1140.366) (-1210.902) (-1138.139) [-1138.825] -- 0:01:39
800000 -- (-1145.167) (-1133.907) (-1194.864) [-1137.342] * [-1134.364] (-1211.053) (-1143.955) (-1149.768) -- 0:01:38
Average standard deviation of split frequencies: 0.006977
801000 -- (-1144.303) [-1134.967] (-1188.792) (-1140.570) * (-1142.715) (-1195.550) [-1133.101] (-1135.107) -- 0:01:38
802000 -- (-1133.683) [-1130.463] (-1193.602) (-1143.355) * (-1134.724) (-1188.716) (-1150.875) [-1129.906] -- 0:01:37
803000 -- [-1131.907] (-1136.690) (-1206.048) (-1140.012) * (-1148.855) (-1199.594) [-1128.602] (-1142.158) -- 0:01:37
804000 -- (-1141.989) (-1132.680) (-1194.509) [-1131.100] * (-1138.086) (-1197.193) (-1139.887) [-1132.007] -- 0:01:36
805000 -- (-1145.065) [-1134.443] (-1190.384) (-1143.672) * [-1125.587] (-1208.185) (-1135.446) (-1137.324) -- 0:01:36
Average standard deviation of split frequencies: 0.007106
806000 -- (-1153.582) [-1135.061] (-1201.759) (-1140.488) * [-1131.762] (-1199.298) (-1142.764) (-1136.805) -- 0:01:35
807000 -- (-1138.878) [-1132.772] (-1200.735) (-1136.492) * (-1143.098) (-1208.751) (-1138.192) [-1130.901] -- 0:01:35
808000 -- (-1139.303) [-1141.262] (-1190.859) (-1129.071) * (-1138.775) (-1208.495) (-1145.720) [-1133.274] -- 0:01:34
809000 -- (-1148.551) [-1145.013] (-1203.654) (-1147.996) * (-1156.788) (-1192.242) [-1136.638] (-1141.369) -- 0:01:34
810000 -- (-1138.415) [-1133.042] (-1209.482) (-1137.634) * [-1136.872] (-1199.665) (-1139.550) (-1149.363) -- 0:01:33
Average standard deviation of split frequencies: 0.007167
811000 -- (-1164.128) (-1143.144) (-1201.901) [-1144.773] * (-1153.830) (-1195.323) [-1133.893] (-1145.172) -- 0:01:33
812000 -- (-1159.622) (-1142.128) (-1206.017) [-1134.857] * (-1142.463) (-1216.178) (-1138.944) [-1132.884] -- 0:01:32
813000 -- (-1145.272) (-1142.372) (-1192.246) [-1135.632] * (-1145.747) (-1197.299) [-1139.974] (-1141.407) -- 0:01:32
814000 -- (-1152.062) [-1139.551] (-1190.956) (-1133.655) * (-1140.057) (-1206.859) [-1138.416] (-1136.266) -- 0:01:31
815000 -- [-1137.279] (-1149.045) (-1190.966) (-1144.103) * (-1135.426) (-1212.894) (-1157.184) [-1131.302] -- 0:01:31
Average standard deviation of split frequencies: 0.006831
816000 -- (-1145.022) (-1146.882) (-1187.842) [-1141.314] * (-1133.600) (-1189.642) (-1156.297) [-1137.637] -- 0:01:30
817000 -- [-1133.806] (-1151.506) (-1192.198) (-1133.792) * (-1136.420) (-1192.759) (-1145.945) [-1139.508] -- 0:01:30
818000 -- [-1132.321] (-1134.474) (-1203.650) (-1138.649) * (-1135.681) (-1196.226) (-1141.489) [-1136.979] -- 0:01:29
819000 -- [-1135.279] (-1143.855) (-1207.245) (-1146.312) * (-1143.317) (-1203.406) (-1143.541) [-1127.282] -- 0:01:29
820000 -- [-1131.329] (-1139.678) (-1194.162) (-1137.366) * (-1137.817) (-1207.096) (-1143.525) [-1130.581] -- 0:01:28
Average standard deviation of split frequencies: 0.006807
821000 -- [-1127.387] (-1152.495) (-1197.279) (-1140.037) * [-1134.673] (-1195.536) (-1150.956) (-1134.013) -- 0:01:28
822000 -- (-1145.816) (-1155.536) (-1193.433) [-1143.605] * [-1132.510] (-1201.496) (-1154.584) (-1132.115) -- 0:01:27
823000 -- (-1141.690) [-1130.819] (-1198.834) (-1137.511) * (-1149.510) (-1196.316) (-1143.863) [-1138.035] -- 0:01:27
824000 -- (-1141.834) [-1130.024] (-1203.077) (-1137.139) * (-1153.307) (-1200.096) [-1134.822] (-1142.834) -- 0:01:26
825000 -- (-1173.804) (-1130.929) (-1196.525) [-1134.350] * (-1132.417) (-1186.694) (-1145.964) [-1138.695] -- 0:01:26
Average standard deviation of split frequencies: 0.006734
826000 -- (-1159.517) (-1127.953) (-1199.676) [-1140.806] * (-1140.248) (-1209.335) (-1141.282) [-1141.891] -- 0:01:25
827000 -- (-1152.775) [-1131.945] (-1199.627) (-1138.674) * [-1144.107] (-1201.998) (-1148.047) (-1141.968) -- 0:01:25
828000 -- (-1157.283) [-1129.228] (-1193.946) (-1131.355) * (-1135.249) (-1222.041) [-1136.301] (-1154.223) -- 0:01:24
829000 -- (-1137.595) (-1138.298) (-1195.412) [-1140.453] * (-1138.901) (-1202.700) [-1136.287] (-1136.498) -- 0:01:24
830000 -- (-1132.616) (-1158.755) (-1200.536) [-1128.983] * (-1139.445) (-1203.156) [-1129.953] (-1142.131) -- 0:01:23
Average standard deviation of split frequencies: 0.006597
831000 -- (-1142.605) (-1141.706) (-1185.614) [-1131.776] * [-1137.822] (-1194.259) (-1135.299) (-1146.392) -- 0:01:23
832000 -- (-1141.518) (-1149.703) (-1201.615) [-1137.369] * (-1142.040) (-1198.226) [-1137.722] (-1158.301) -- 0:01:22
833000 -- [-1138.784] (-1149.787) (-1209.169) (-1142.692) * [-1141.310] (-1201.730) (-1142.278) (-1143.809) -- 0:01:22
834000 -- (-1147.861) [-1143.539] (-1199.030) (-1139.730) * [-1131.704] (-1198.677) (-1138.040) (-1150.736) -- 0:01:22
835000 -- (-1142.036) (-1140.830) (-1198.810) [-1134.235] * [-1142.063] (-1225.343) (-1144.302) (-1131.362) -- 0:01:21
Average standard deviation of split frequencies: 0.006851
836000 -- (-1156.525) (-1147.053) (-1206.580) [-1139.595] * (-1141.618) (-1209.212) [-1137.991] (-1144.386) -- 0:01:21
837000 -- (-1163.918) (-1145.419) (-1207.200) [-1136.938] * [-1135.054] (-1202.165) (-1134.989) (-1143.985) -- 0:01:20
838000 -- (-1152.710) (-1134.333) (-1203.266) [-1131.703] * [-1134.236] (-1199.592) (-1136.368) (-1155.778) -- 0:01:20
839000 -- (-1148.448) (-1133.172) (-1204.705) [-1140.707] * [-1135.964] (-1202.686) (-1148.397) (-1136.158) -- 0:01:19
840000 -- (-1147.762) (-1140.384) (-1194.749) [-1134.240] * (-1135.942) (-1205.741) (-1142.632) [-1132.253] -- 0:01:19
Average standard deviation of split frequencies: 0.006883
841000 -- [-1134.864] (-1136.241) (-1195.682) (-1147.419) * (-1139.058) (-1190.661) (-1136.472) [-1131.692] -- 0:01:18
842000 -- [-1130.804] (-1136.483) (-1199.547) (-1135.804) * [-1142.719] (-1189.340) (-1141.320) (-1148.103) -- 0:01:18
843000 -- (-1132.152) (-1135.989) (-1191.332) [-1128.424] * (-1148.391) (-1198.423) [-1140.142] (-1145.943) -- 0:01:17
844000 -- [-1130.413] (-1137.127) (-1199.322) (-1140.793) * (-1138.224) (-1193.930) [-1134.900] (-1139.463) -- 0:01:17
845000 -- [-1135.620] (-1132.991) (-1198.383) (-1138.978) * (-1130.778) (-1196.526) [-1133.368] (-1137.197) -- 0:01:16
Average standard deviation of split frequencies: 0.006756
846000 -- [-1133.817] (-1132.315) (-1193.917) (-1147.918) * (-1133.090) (-1191.866) [-1140.356] (-1134.397) -- 0:01:16
847000 -- [-1138.557] (-1136.452) (-1202.590) (-1154.724) * [-1137.600] (-1207.127) (-1144.725) (-1143.192) -- 0:01:15
848000 -- [-1135.542] (-1135.063) (-1192.805) (-1142.965) * [-1132.424] (-1206.124) (-1143.266) (-1134.416) -- 0:01:15
849000 -- (-1140.932) [-1138.604] (-1210.471) (-1150.462) * (-1143.917) (-1199.527) [-1139.174] (-1138.219) -- 0:01:14
850000 -- (-1157.389) [-1134.594] (-1201.473) (-1140.670) * (-1133.097) (-1207.655) [-1137.872] (-1136.061) -- 0:01:14
Average standard deviation of split frequencies: 0.006705
851000 -- [-1144.817] (-1151.805) (-1198.341) (-1143.963) * [-1128.090] (-1203.176) (-1165.393) (-1138.259) -- 0:01:13
852000 -- (-1154.096) (-1144.002) (-1204.147) [-1134.670] * [-1130.718] (-1198.483) (-1157.722) (-1138.366) -- 0:01:13
853000 -- (-1152.348) (-1147.394) (-1196.687) [-1138.913] * [-1138.632] (-1212.921) (-1167.046) (-1145.880) -- 0:01:12
854000 -- (-1142.248) (-1133.348) (-1200.073) [-1127.264] * [-1128.271] (-1192.209) (-1141.196) (-1135.444) -- 0:01:12
855000 -- (-1150.911) (-1135.487) (-1210.321) [-1135.109] * (-1128.689) (-1200.711) (-1132.424) [-1134.615] -- 0:01:11
Average standard deviation of split frequencies: 0.006622
856000 -- (-1134.127) [-1138.820] (-1200.560) (-1147.514) * (-1147.351) (-1202.202) [-1140.063] (-1140.097) -- 0:01:11
857000 -- (-1140.007) (-1143.079) (-1201.283) [-1134.518] * (-1130.768) (-1209.623) [-1134.146] (-1144.694) -- 0:01:10
858000 -- (-1146.099) (-1135.497) (-1194.753) [-1130.626] * [-1130.859] (-1207.574) (-1140.946) (-1133.141) -- 0:01:10
859000 -- (-1149.894) (-1141.350) (-1195.385) [-1136.049] * (-1133.467) (-1192.785) [-1137.349] (-1132.648) -- 0:01:09
860000 -- (-1169.401) (-1140.317) (-1199.799) [-1139.781] * (-1142.231) (-1201.708) [-1135.583] (-1141.768) -- 0:01:09
Average standard deviation of split frequencies: 0.006641
861000 -- (-1153.609) (-1131.304) (-1187.980) [-1134.192] * (-1138.818) (-1194.818) (-1148.484) [-1137.797] -- 0:01:08
862000 -- (-1150.126) (-1139.682) (-1195.432) [-1138.229] * (-1134.984) (-1208.348) (-1148.358) [-1139.689] -- 0:01:08
863000 -- (-1143.287) (-1135.994) (-1194.394) [-1134.610] * (-1139.224) (-1193.506) (-1148.440) [-1136.653] -- 0:01:07
864000 -- (-1137.221) (-1133.052) (-1203.648) [-1135.472] * [-1136.352] (-1205.487) (-1143.712) (-1135.947) -- 0:01:07
865000 -- (-1143.987) (-1135.302) (-1200.512) [-1137.352] * [-1132.918] (-1195.346) (-1147.175) (-1161.512) -- 0:01:06
Average standard deviation of split frequencies: 0.006314
866000 -- [-1153.123] (-1149.701) (-1192.520) (-1140.407) * [-1152.459] (-1192.879) (-1147.009) (-1146.924) -- 0:01:06
867000 -- [-1131.317] (-1146.437) (-1204.186) (-1142.477) * [-1133.658] (-1188.900) (-1156.469) (-1141.441) -- 0:01:05
868000 -- (-1126.402) (-1140.893) (-1198.474) [-1130.235] * [-1133.803] (-1191.302) (-1144.341) (-1142.751) -- 0:01:05
869000 -- (-1133.835) (-1140.290) (-1207.317) [-1132.851] * [-1142.711] (-1193.033) (-1138.831) (-1138.363) -- 0:01:04
870000 -- [-1135.465] (-1156.658) (-1205.715) (-1139.298) * (-1137.931) (-1197.172) (-1138.295) [-1132.207] -- 0:01:04
Average standard deviation of split frequencies: 0.006389
871000 -- (-1142.138) (-1156.812) (-1196.832) [-1135.141] * [-1137.488] (-1212.775) (-1139.762) (-1168.877) -- 0:01:03
872000 -- (-1132.549) (-1150.838) (-1201.973) [-1135.982] * (-1137.996) (-1207.681) [-1133.361] (-1154.389) -- 0:01:03
873000 -- (-1141.429) (-1140.530) (-1193.187) [-1131.132] * (-1148.816) (-1211.833) [-1137.097] (-1150.954) -- 0:01:02
874000 -- [-1138.379] (-1147.046) (-1190.861) (-1137.449) * (-1143.763) (-1191.970) (-1141.340) [-1130.863] -- 0:01:02
875000 -- (-1149.186) (-1145.084) (-1209.606) [-1134.342] * [-1139.815] (-1198.122) (-1147.691) (-1136.222) -- 0:01:01
Average standard deviation of split frequencies: 0.006323
876000 -- (-1145.616) [-1137.181] (-1199.572) (-1153.138) * (-1133.372) (-1192.310) (-1162.213) [-1136.258] -- 0:01:01
877000 -- (-1139.873) [-1134.480] (-1219.121) (-1138.078) * [-1138.241] (-1208.783) (-1162.220) (-1142.106) -- 0:01:00
878000 -- (-1136.950) (-1132.039) (-1214.970) [-1142.660] * [-1129.338] (-1208.191) (-1153.701) (-1142.245) -- 0:01:00
879000 -- (-1140.345) [-1136.322] (-1204.934) (-1150.619) * (-1136.575) (-1205.639) (-1137.493) [-1127.794] -- 0:00:59
880000 -- (-1151.662) [-1133.306] (-1199.426) (-1144.728) * (-1142.838) (-1215.074) [-1130.219] (-1151.944) -- 0:00:59
Average standard deviation of split frequencies: 0.006102
881000 -- (-1142.729) [-1131.539] (-1224.608) (-1140.795) * (-1141.167) (-1208.389) [-1130.345] (-1145.338) -- 0:00:58
882000 -- (-1149.739) [-1141.079] (-1213.413) (-1134.642) * [-1149.302] (-1197.185) (-1136.251) (-1141.309) -- 0:00:58
883000 -- (-1148.392) (-1139.083) (-1201.759) [-1146.378] * (-1136.739) (-1214.351) [-1132.714] (-1143.517) -- 0:00:57
884000 -- (-1132.754) [-1128.016] (-1205.640) (-1142.538) * (-1149.113) (-1197.082) [-1142.819] (-1140.235) -- 0:00:57
885000 -- (-1144.753) (-1141.510) (-1201.493) [-1145.489] * (-1143.461) (-1202.876) (-1140.840) [-1134.468] -- 0:00:56
Average standard deviation of split frequencies: 0.006185
886000 -- (-1140.463) (-1142.887) (-1201.371) [-1140.334] * (-1142.365) (-1199.186) [-1133.539] (-1140.165) -- 0:00:56
887000 -- (-1141.791) (-1152.373) (-1212.005) [-1126.727] * (-1148.689) (-1195.141) (-1129.733) [-1129.936] -- 0:00:55
888000 -- (-1139.102) (-1148.593) (-1213.043) [-1136.215] * (-1148.040) (-1196.490) (-1138.066) [-1133.740] -- 0:00:55
889000 -- [-1140.899] (-1141.460) (-1200.991) (-1142.465) * (-1147.500) (-1202.113) (-1143.278) [-1130.322] -- 0:00:54
890000 -- (-1145.027) (-1151.262) (-1198.168) [-1137.891] * [-1132.360] (-1208.666) (-1141.726) (-1145.534) -- 0:00:54
Average standard deviation of split frequencies: 0.005981
891000 -- (-1139.914) (-1142.959) (-1199.459) [-1139.153] * (-1137.600) (-1197.991) (-1143.374) [-1138.381] -- 0:00:53
892000 -- (-1141.890) [-1134.291] (-1186.487) (-1143.601) * (-1139.123) (-1200.608) (-1158.489) [-1142.920] -- 0:00:53
893000 -- [-1130.525] (-1155.997) (-1189.913) (-1133.727) * [-1132.273] (-1193.395) (-1156.655) (-1135.572) -- 0:00:52
894000 -- [-1131.556] (-1138.031) (-1200.961) (-1141.057) * (-1140.011) (-1214.714) (-1172.520) [-1140.126] -- 0:00:52
895000 -- (-1133.319) [-1137.339] (-1200.928) (-1139.529) * (-1141.986) (-1194.104) (-1147.137) [-1142.618] -- 0:00:51
Average standard deviation of split frequencies: 0.005814
896000 -- (-1134.844) [-1137.413] (-1210.148) (-1140.561) * (-1151.787) (-1196.043) [-1138.099] (-1138.354) -- 0:00:51
897000 -- (-1144.728) [-1137.259] (-1190.180) (-1143.175) * (-1143.680) (-1216.203) [-1134.628] (-1133.169) -- 0:00:50
898000 -- (-1146.342) (-1136.118) (-1200.270) [-1131.441] * (-1139.421) (-1211.567) (-1156.534) [-1130.015] -- 0:00:50
899000 -- (-1139.903) (-1134.523) (-1200.719) [-1127.976] * (-1135.766) (-1190.657) (-1158.866) [-1137.009] -- 0:00:49
900000 -- (-1141.721) [-1139.469] (-1213.124) (-1133.222) * (-1152.114) (-1217.492) [-1143.110] (-1134.515) -- 0:00:49
Average standard deviation of split frequencies: 0.005823
901000 -- [-1128.443] (-1143.756) (-1194.335) (-1138.115) * (-1152.948) (-1202.730) [-1147.006] (-1134.303) -- 0:00:48
902000 -- [-1134.415] (-1138.915) (-1201.177) (-1138.292) * (-1158.632) (-1200.398) (-1150.276) [-1139.298] -- 0:00:48
903000 -- (-1149.774) [-1139.444] (-1200.219) (-1142.276) * (-1143.401) (-1189.953) [-1140.418] (-1143.087) -- 0:00:47
904000 -- (-1131.900) [-1133.246] (-1206.560) (-1149.880) * [-1136.265] (-1196.052) (-1145.156) (-1136.450) -- 0:00:47
905000 -- (-1144.509) [-1138.160] (-1203.217) (-1145.369) * (-1133.101) (-1185.024) [-1129.219] (-1152.592) -- 0:00:46
Average standard deviation of split frequencies: 0.005854
906000 -- (-1130.789) [-1128.576] (-1195.477) (-1144.328) * [-1138.633] (-1199.961) (-1147.669) (-1166.290) -- 0:00:46
907000 -- [-1130.222] (-1139.843) (-1201.104) (-1150.542) * [-1132.732] (-1201.772) (-1147.919) (-1144.058) -- 0:00:45
908000 -- [-1132.544] (-1142.736) (-1204.300) (-1153.977) * (-1140.253) (-1200.006) (-1148.616) [-1151.206] -- 0:00:45
909000 -- (-1141.914) [-1135.111] (-1189.521) (-1135.269) * (-1143.698) (-1204.434) (-1153.429) [-1131.368] -- 0:00:44
910000 -- [-1137.876] (-1135.321) (-1193.998) (-1150.563) * (-1138.058) (-1206.879) (-1146.109) [-1133.268] -- 0:00:44
Average standard deviation of split frequencies: 0.005992
911000 -- [-1132.992] (-1136.433) (-1200.803) (-1152.115) * (-1149.374) (-1213.935) (-1153.850) [-1136.502] -- 0:00:43
912000 -- [-1133.329] (-1141.200) (-1199.646) (-1144.445) * (-1140.594) (-1215.626) (-1144.046) [-1136.418] -- 0:00:43
913000 -- (-1141.757) [-1134.126] (-1206.955) (-1154.758) * (-1134.071) (-1203.857) (-1136.858) [-1126.580] -- 0:00:42
914000 -- (-1137.592) (-1144.785) (-1203.581) [-1142.616] * (-1140.191) (-1191.678) [-1144.094] (-1140.046) -- 0:00:42
915000 -- (-1143.354) [-1144.782] (-1203.312) (-1133.489) * (-1139.693) (-1200.447) [-1137.455] (-1143.615) -- 0:00:41
Average standard deviation of split frequencies: 0.005854
916000 -- [-1136.082] (-1146.662) (-1200.336) (-1141.584) * (-1137.854) (-1195.736) (-1133.338) [-1142.009] -- 0:00:41
917000 -- [-1132.694] (-1147.869) (-1201.836) (-1138.873) * (-1157.270) (-1199.849) [-1132.687] (-1148.795) -- 0:00:41
918000 -- [-1134.816] (-1142.663) (-1206.569) (-1141.711) * (-1143.459) (-1204.420) [-1123.478] (-1138.602) -- 0:00:40
919000 -- [-1128.967] (-1149.910) (-1195.558) (-1146.908) * (-1144.338) (-1202.986) [-1133.816] (-1151.545) -- 0:00:40
920000 -- (-1142.868) (-1155.484) (-1190.363) [-1130.473] * (-1134.918) (-1200.176) [-1132.322] (-1151.503) -- 0:00:39
Average standard deviation of split frequencies: 0.005773
921000 -- (-1142.876) (-1140.666) (-1198.973) [-1135.262] * (-1135.904) (-1194.316) [-1140.826] (-1142.606) -- 0:00:39
922000 -- (-1141.505) [-1134.330] (-1200.574) (-1131.535) * (-1138.657) (-1201.727) [-1137.405] (-1154.401) -- 0:00:38
923000 -- [-1143.768] (-1135.193) (-1202.283) (-1139.794) * (-1140.751) (-1195.382) (-1146.923) [-1134.599] -- 0:00:38
924000 -- (-1157.409) (-1138.517) (-1208.967) [-1142.319] * (-1135.739) (-1188.902) (-1140.583) [-1134.375] -- 0:00:37
925000 -- (-1143.208) (-1144.037) (-1209.932) [-1136.512] * (-1135.454) (-1192.601) (-1141.087) [-1132.432] -- 0:00:37
Average standard deviation of split frequencies: 0.005816
926000 -- (-1148.230) (-1152.992) (-1212.571) [-1138.083] * (-1142.127) (-1192.461) (-1141.358) [-1132.270] -- 0:00:36
927000 -- (-1151.466) (-1156.008) (-1197.149) [-1132.267] * [-1142.426] (-1203.123) (-1144.175) (-1146.249) -- 0:00:36
928000 -- [-1139.330] (-1149.538) (-1206.985) (-1138.478) * (-1139.635) (-1203.723) [-1135.143] (-1146.159) -- 0:00:35
929000 -- [-1134.154] (-1156.211) (-1196.948) (-1146.026) * (-1141.442) (-1195.517) [-1134.973] (-1137.462) -- 0:00:35
930000 -- [-1131.097] (-1153.940) (-1223.193) (-1147.398) * (-1132.770) (-1193.339) [-1131.231] (-1141.069) -- 0:00:34
Average standard deviation of split frequencies: 0.006053
931000 -- [-1135.038] (-1141.192) (-1208.378) (-1148.758) * (-1141.130) (-1193.456) [-1133.227] (-1153.345) -- 0:00:34
932000 -- [-1131.836] (-1134.883) (-1202.922) (-1150.100) * (-1131.057) (-1190.996) [-1145.415] (-1158.439) -- 0:00:33
933000 -- (-1144.332) [-1139.983] (-1207.565) (-1134.958) * (-1140.403) (-1192.759) [-1144.689] (-1150.492) -- 0:00:33
934000 -- (-1134.373) (-1136.647) (-1200.405) [-1137.922] * (-1158.652) (-1206.512) [-1134.150] (-1142.585) -- 0:00:32
935000 -- (-1139.701) (-1139.429) (-1200.023) [-1138.184] * (-1136.792) (-1200.198) (-1155.311) [-1137.808] -- 0:00:32
Average standard deviation of split frequencies: 0.005691
936000 -- (-1151.935) (-1127.645) (-1199.660) [-1132.566] * (-1138.160) (-1195.657) (-1146.145) [-1130.408] -- 0:00:31
937000 -- (-1157.410) (-1139.353) (-1202.874) [-1138.880] * [-1135.740] (-1202.168) (-1159.070) (-1150.452) -- 0:00:31
938000 -- (-1162.839) [-1129.304] (-1201.550) (-1151.178) * (-1132.795) (-1196.458) (-1152.872) [-1143.896] -- 0:00:30
939000 -- (-1143.580) (-1133.842) (-1197.028) [-1138.129] * (-1135.464) (-1203.831) (-1148.739) [-1134.192] -- 0:00:30
940000 -- (-1141.447) (-1133.723) (-1195.244) [-1137.017] * (-1141.313) (-1217.449) [-1134.402] (-1139.101) -- 0:00:29
Average standard deviation of split frequencies: 0.005525
941000 -- (-1135.588) (-1144.792) (-1200.011) [-1137.343] * [-1136.201] (-1208.904) (-1129.579) (-1143.361) -- 0:00:29
942000 -- (-1156.266) (-1144.351) (-1194.338) [-1131.308] * [-1133.917] (-1206.678) (-1134.059) (-1136.338) -- 0:00:28
943000 -- (-1150.960) [-1128.279] (-1198.708) (-1133.831) * (-1141.225) (-1204.862) (-1157.400) [-1134.831] -- 0:00:28
944000 -- [-1141.284] (-1138.623) (-1207.041) (-1155.284) * [-1140.525] (-1201.611) (-1138.101) (-1153.242) -- 0:00:27
945000 -- (-1146.013) (-1130.220) (-1198.615) [-1129.364] * (-1144.398) (-1197.946) [-1135.114] (-1155.778) -- 0:00:27
Average standard deviation of split frequencies: 0.005618
946000 -- [-1127.815] (-1128.654) (-1215.632) (-1141.481) * (-1140.993) (-1196.387) (-1144.976) [-1141.467] -- 0:00:26
947000 -- [-1132.050] (-1131.007) (-1212.762) (-1150.178) * (-1139.378) (-1187.054) (-1144.937) [-1140.269] -- 0:00:26
948000 -- [-1132.061] (-1148.534) (-1226.746) (-1136.070) * (-1152.177) (-1200.506) (-1143.181) [-1140.438] -- 0:00:25
949000 -- (-1134.357) (-1139.456) (-1207.722) [-1135.979] * (-1145.630) (-1205.423) (-1162.744) [-1137.098] -- 0:00:25
950000 -- [-1140.868] (-1131.905) (-1196.713) (-1143.988) * (-1137.190) (-1212.031) (-1148.540) [-1137.671] -- 0:00:24
Average standard deviation of split frequencies: 0.005417
951000 -- (-1153.868) [-1129.875] (-1188.431) (-1146.637) * (-1142.036) (-1202.064) (-1146.614) [-1129.852] -- 0:00:24
952000 -- [-1137.373] (-1125.841) (-1198.717) (-1150.304) * (-1138.416) (-1210.520) (-1128.833) [-1135.186] -- 0:00:23
953000 -- (-1153.236) [-1133.365] (-1212.272) (-1138.943) * [-1132.615] (-1204.441) (-1145.570) (-1127.079) -- 0:00:23
954000 -- (-1162.249) (-1141.048) (-1200.711) [-1141.421] * (-1136.803) (-1199.221) (-1141.756) [-1131.280] -- 0:00:22
955000 -- (-1146.856) (-1142.269) (-1196.058) [-1141.939] * (-1142.667) (-1181.304) (-1132.432) [-1126.596] -- 0:00:22
Average standard deviation of split frequencies: 0.005412
956000 -- [-1128.623] (-1134.729) (-1199.024) (-1134.050) * (-1153.031) (-1194.489) [-1126.675] (-1134.355) -- 0:00:21
957000 -- [-1136.003] (-1142.585) (-1187.028) (-1141.451) * (-1144.842) (-1203.728) [-1129.310] (-1145.637) -- 0:00:21
958000 -- (-1137.994) (-1139.190) (-1198.592) [-1140.054] * [-1137.979] (-1211.711) (-1132.444) (-1161.867) -- 0:00:20
959000 -- (-1142.163) [-1139.324] (-1195.802) (-1141.949) * [-1136.164] (-1189.375) (-1138.485) (-1140.796) -- 0:00:20
960000 -- (-1143.652) [-1129.978] (-1199.644) (-1136.701) * (-1136.467) (-1199.767) (-1149.671) [-1134.823] -- 0:00:19
Average standard deviation of split frequencies: 0.005606
961000 -- (-1154.548) (-1132.147) (-1189.273) [-1138.386] * [-1139.988] (-1206.082) (-1143.252) (-1139.566) -- 0:00:19
962000 -- [-1135.263] (-1141.918) (-1193.593) (-1144.449) * (-1138.505) (-1192.154) (-1136.661) [-1139.938] -- 0:00:18
963000 -- (-1152.607) [-1134.628] (-1189.329) (-1137.632) * (-1157.586) (-1194.560) (-1142.116) [-1135.911] -- 0:00:18
964000 -- (-1138.296) [-1131.163] (-1195.321) (-1151.303) * (-1150.288) (-1200.614) [-1150.385] (-1132.626) -- 0:00:17
965000 -- [-1133.041] (-1144.289) (-1198.997) (-1151.594) * [-1148.687] (-1212.347) (-1152.267) (-1143.552) -- 0:00:17
Average standard deviation of split frequencies: 0.005636
966000 -- [-1144.728] (-1142.420) (-1193.520) (-1151.997) * (-1152.570) (-1211.324) [-1132.753] (-1141.151) -- 0:00:16
967000 -- [-1134.966] (-1137.139) (-1189.034) (-1138.789) * [-1136.962] (-1206.531) (-1133.123) (-1147.660) -- 0:00:16
968000 -- [-1142.226] (-1136.942) (-1191.601) (-1154.097) * [-1138.472] (-1185.796) (-1137.618) (-1139.852) -- 0:00:15
969000 -- (-1148.573) [-1135.695] (-1185.632) (-1151.587) * (-1140.295) (-1218.077) [-1128.862] (-1132.711) -- 0:00:15
970000 -- (-1140.754) (-1151.807) (-1210.854) [-1132.921] * [-1134.304] (-1204.364) (-1137.381) (-1137.135) -- 0:00:14
Average standard deviation of split frequencies: 0.005555
971000 -- [-1129.709] (-1137.303) (-1198.104) (-1128.522) * [-1132.930] (-1212.696) (-1135.351) (-1130.653) -- 0:00:14
972000 -- [-1144.743] (-1148.430) (-1202.319) (-1133.587) * [-1142.910] (-1200.961) (-1135.864) (-1151.441) -- 0:00:13
973000 -- [-1137.921] (-1162.847) (-1196.619) (-1134.863) * [-1131.853] (-1197.781) (-1135.365) (-1142.477) -- 0:00:13
974000 -- (-1144.217) (-1158.666) (-1193.511) [-1145.643] * [-1140.315] (-1198.363) (-1142.166) (-1145.074) -- 0:00:12
975000 -- (-1146.413) [-1145.984] (-1199.792) (-1144.270) * (-1144.908) (-1201.663) (-1139.547) [-1147.996] -- 0:00:12
Average standard deviation of split frequencies: 0.005855
976000 -- (-1154.267) (-1148.609) (-1209.727) [-1135.755] * [-1134.750] (-1193.482) (-1146.903) (-1136.385) -- 0:00:11
977000 -- [-1137.312] (-1149.764) (-1197.452) (-1139.063) * [-1132.864] (-1195.511) (-1156.893) (-1131.664) -- 0:00:11
978000 -- [-1139.144] (-1150.783) (-1193.192) (-1141.977) * (-1139.130) (-1207.202) (-1142.036) [-1129.510] -- 0:00:10
979000 -- [-1138.151] (-1147.845) (-1188.951) (-1130.796) * (-1146.925) (-1207.475) (-1147.458) [-1129.325] -- 0:00:10
980000 -- [-1134.768] (-1131.043) (-1201.843) (-1146.096) * (-1140.223) (-1201.706) (-1138.519) [-1134.477] -- 0:00:09
Average standard deviation of split frequencies: 0.006038
981000 -- [-1132.587] (-1135.778) (-1200.862) (-1143.289) * (-1139.732) (-1206.604) (-1128.410) [-1131.945] -- 0:00:09
982000 -- (-1132.095) (-1149.591) (-1198.571) [-1132.188] * (-1140.820) (-1211.013) (-1137.644) [-1138.385] -- 0:00:08
983000 -- [-1140.258] (-1146.407) (-1205.877) (-1151.358) * (-1147.978) (-1205.415) (-1133.344) [-1139.855] -- 0:00:08
984000 -- (-1134.148) [-1147.554] (-1193.514) (-1134.888) * (-1148.457) (-1192.465) [-1131.958] (-1139.077) -- 0:00:07
985000 -- [-1131.270] (-1158.359) (-1205.531) (-1147.963) * (-1140.828) (-1195.753) (-1141.870) [-1133.028] -- 0:00:07
Average standard deviation of split frequencies: 0.005877
986000 -- [-1130.708] (-1138.083) (-1215.899) (-1142.514) * [-1136.651] (-1195.964) (-1148.865) (-1136.386) -- 0:00:06
987000 -- (-1137.573) [-1123.627] (-1195.031) (-1142.363) * (-1150.256) (-1190.709) [-1131.519] (-1137.764) -- 0:00:06
988000 -- [-1138.373] (-1136.378) (-1193.180) (-1142.136) * [-1143.027] (-1192.054) (-1157.764) (-1140.287) -- 0:00:05
989000 -- (-1132.176) [-1131.635] (-1202.262) (-1139.874) * (-1150.605) (-1206.152) [-1136.451] (-1137.878) -- 0:00:05
990000 -- (-1137.924) [-1129.592] (-1195.435) (-1142.701) * [-1138.539] (-1218.236) (-1134.006) (-1133.445) -- 0:00:04
Average standard deviation of split frequencies: 0.005989
991000 -- (-1140.069) [-1138.702] (-1199.324) (-1132.790) * (-1147.343) (-1205.140) (-1150.408) [-1132.988] -- 0:00:04
992000 -- (-1148.722) [-1131.866] (-1198.465) (-1144.452) * [-1142.095] (-1198.289) (-1155.176) (-1151.691) -- 0:00:03
993000 -- (-1141.224) [-1130.417] (-1185.034) (-1139.182) * [-1135.065] (-1197.326) (-1159.210) (-1160.591) -- 0:00:03
994000 -- (-1136.222) (-1143.414) (-1202.813) [-1136.491] * (-1135.400) (-1194.082) (-1163.438) [-1140.433] -- 0:00:02
995000 -- [-1144.627] (-1144.298) (-1195.525) (-1137.653) * [-1135.639] (-1194.041) (-1137.979) (-1136.455) -- 0:00:02
Average standard deviation of split frequencies: 0.006014
996000 -- (-1142.382) [-1140.354] (-1196.225) (-1126.564) * [-1140.384] (-1189.414) (-1141.426) (-1134.326) -- 0:00:01
997000 -- (-1138.665) [-1145.057] (-1203.129) (-1146.100) * [-1133.725] (-1194.125) (-1145.861) (-1133.319) -- 0:00:01
998000 -- (-1137.815) (-1147.961) (-1191.493) [-1130.306] * [-1137.797] (-1199.922) (-1143.465) (-1134.309) -- 0:00:00
999000 -- (-1134.834) (-1130.927) (-1205.854) [-1130.907] * (-1146.717) (-1200.425) [-1135.937] (-1133.976) -- 0:00:00
1000000 -- (-1139.154) [-1132.116] (-1207.896) (-1153.653) * (-1138.236) (-1212.569) [-1135.576] (-1141.281) -- 0:00:00
Average standard deviation of split frequencies: 0.005889
Analysis completed in 8 mins 15 seconds
Analysis used 494.13 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1120.69
Likelihood of best state for "cold" chain of run 2 was -1121.30
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
64.3 % ( 60 %) Dirichlet(Revmat{all})
82.7 % ( 79 %) Slider(Revmat{all})
28.2 % ( 12 %) Dirichlet(Pi{all})
31.5 % ( 23 %) Slider(Pi{all})
83.7 % ( 66 %) Multiplier(Alpha{1,2})
68.4 % ( 40 %) Multiplier(Alpha{3})
91.9 % ( 84 %) Slider(Pinvar{all})
65.8 % ( 66 %) ExtSPR(Tau{all},V{all})
61.4 % ( 57 %) ExtTBR(Tau{all},V{all})
74.5 % ( 77 %) NNI(Tau{all},V{all})
44.2 % ( 39 %) ParsSPR(Tau{all},V{all})
27.6 % ( 20 %) Multiplier(V{all})
79.3 % ( 74 %) Nodeslider(V{all})
26.6 % ( 26 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
63.8 % ( 52 %) Dirichlet(Revmat{all})
82.7 % ( 74 %) Slider(Revmat{all})
28.5 % ( 24 %) Dirichlet(Pi{all})
31.3 % ( 20 %) Slider(Pi{all})
83.3 % ( 57 %) Multiplier(Alpha{1,2})
68.9 % ( 34 %) Multiplier(Alpha{3})
92.2 % ( 88 %) Slider(Pinvar{all})
65.7 % ( 56 %) ExtSPR(Tau{all},V{all})
61.5 % ( 55 %) ExtTBR(Tau{all},V{all})
74.2 % ( 72 %) NNI(Tau{all},V{all})
44.1 % ( 40 %) ParsSPR(Tau{all},V{all})
27.6 % ( 25 %) Multiplier(V{all})
79.2 % ( 80 %) Nodeslider(V{all})
26.7 % ( 27 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.34 0.04 0.00
2 | 166507 0.28 0.00
3 | 167340 166985 0.01
4 | 166493 166220 166455
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.34 0.04 0.00
2 | 166419 0.26 0.00
3 | 166321 167061 0.01
4 | 167269 166667 166263
Upper diagonal: Proportion of successful state exchanges between chains
Lower diagonal: Number of attempted state exchanges between chains
Chain information:
ID -- Heat
-----------
1 -- 1.00 (cold chain)
2 -- 0.91
3 -- 0.83
4 -- 0.77
Heat = 1 / (1 + T * (ID - 1))
(where T = 0.10 is the temperature and ID is the chain number)
Setting burn-in to 2500
Summarizing parameters in files /data/mrbayes_input.nex.run1.p and /data/mrbayes_input.nex.run2.p
Writing summary statistics to file /data/mrbayes_input.nex.pstat
Using relative burnin ('relburnin=yes'), discarding the first 25 % of samples
Below are rough plots of the generation (x-axis) versus the log
probability of observing the data (y-axis). You can use these
graphs to determine what the burn in for your analysis should be.
When the log probability starts to plateau you may be at station-
arity. Sample trees and parameters after the log probability
plateaus. Of course, this is not a guarantee that you are at sta-
tionarity. Also examine the convergence diagnostics provided by
the 'sump' and 'sumt' commands for all the parameters in your
model. Remember that the burn in is the number of samples to dis-
card. There are a total of ngen / samplefreq samples taken during
a MCMC analysis.
Overlay plot for both runs:
(1 = Run number 1; 2 = Run number 2; * = Both runs)
+------------------------------------------------------------+ -1132.88
| 2 1 |
| 1 1 2 1 1 2 |
| 1 2 2 2 2 |
| 2 21 2 2 * 1 1 1 1|
| 2 1 2 12 1 1 2 2 22 * |
| 2 11 * 1* 1222 1221 1 12 1 2 1 |
| 1 1*2212 12 1*1 1 1 2 1 111 21* 2|
|2 1 2122 2 1 2 2 2 2 1 |
|1 12 2 1 2 11 12 2 2 |
| 2 11 |
| 2 1 2 1 2 |
| 2 |
| |
| |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1140.52
^ ^
250000 1000000
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -1127.77 -1148.47
2 -1129.14 -1149.48
--------------------------------------
TOTAL -1128.24 -1149.10
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.050056 0.000118 0.031644 0.071166 0.048907 1145.11 1309.88 1.000
r(A<->C){all} 0.028466 0.000775 0.000009 0.084635 0.020440 372.13 375.60 1.003
r(A<->G){all} 0.206992 0.004495 0.082616 0.333887 0.201570 264.75 324.40 1.000
r(A<->T){all} 0.051137 0.001170 0.000585 0.117086 0.043708 362.11 447.20 1.001
r(C<->G){all} 0.094074 0.002611 0.012232 0.193047 0.085443 322.18 324.65 1.000
r(C<->T){all} 0.563675 0.007716 0.381205 0.724733 0.563962 316.05 330.05 1.003
r(G<->T){all} 0.055655 0.001378 0.002059 0.127808 0.048625 425.37 441.52 1.007
pi(A){all} 0.263555 0.000300 0.225584 0.294966 0.263602 897.68 917.06 1.000
pi(C){all} 0.243153 0.000263 0.214167 0.277183 0.242674 1092.60 1161.51 1.001
pi(G){all} 0.218967 0.000242 0.188479 0.249153 0.218666 1083.69 1124.08 1.000
pi(T){all} 0.274326 0.000299 0.240892 0.307644 0.274961 935.52 1018.72 1.000
alpha{1,2} 0.622052 0.704463 0.000023 2.255639 0.302602 849.29 876.49 1.000
alpha{3} 1.772951 1.339159 0.114053 4.199260 1.554415 1109.98 1150.01 1.000
pinvar{all} 0.295717 0.041180 0.000013 0.667437 0.267699 454.59 621.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C10
2 -- C11
3 -- C13
4 -- C14
5 -- C15
6 -- C16
7 -- C17
8 -- C2
9 -- C21
10 -- C22
11 -- C23
12 -- C27
13 -- C3
14 -- C31
15 -- C36
16 -- C37
17 -- C38
18 -- C39
19 -- C4
20 -- C44
21 -- C47
22 -- C48
23 -- C51
24 -- C52
25 -- C53
26 -- C56
27 -- C58
28 -- C59
29 -- C7
30 -- C8
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- .******.**********************
32 -- .******.*..*.**.**.*********..
33 -- .........*.....*..............
34 -- .....*...................*....
35 -- ..........*.*...............*.
36 -- ........*.....*.*.....*...**..
37 -- .******.*..*.**.************..
38 -- ..........*.*.................
39 -- ............*...............*.
40 -- ..........*.................*.
41 -- .******.*********************.
42 -- .******.*..*.**.************.*
43 -- .........**.*..*............*.
44 -- .******.*.*****.*************.
45 -- .******.*.*****.**************
46 -- .******.**.*.***************..
47 -- .******.**.*.***************.*
48 -- .........*.....*.............*
49 -- .........**.*..*............**
50 -- ..........*.*...............**
51 -- ......................*...*...
52 -- ........*.....*.......*...**..
53 -- ........*.............*.......
54 -- ................*..........*..
55 -- ........*.....*.*.....*....*..
56 -- ........*.....*.*.........**..
57 -- ..........................**..
58 -- ..............*............*..
59 -- ..............*.*.....*...**..
60 -- ..............*.*.............
61 -- ................*.........*...
62 -- ..............*.......*.......
63 -- ........*.......*.....*...**..
64 -- ........*..................*..
65 -- ......................*....*..
66 -- ........*.....*...............
67 -- ........*.................*...
68 -- ..............*...........*...
69 -- ........*.......*.............
70 -- ................*.....*.......
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 2968 0.988674 0.000942 0.988008 0.989340 2
35 2860 0.952698 0.000942 0.952032 0.953364 2
36 2791 0.929714 0.006124 0.925383 0.934044 2
37 2743 0.913724 0.000471 0.913391 0.914057 2
38 1040 0.346436 0.011306 0.338441 0.354430 2
39 974 0.324450 0.005653 0.320453 0.328448 2
40 953 0.317455 0.018373 0.304464 0.330446 2
41 593 0.197535 0.019315 0.183877 0.211193 2
42 588 0.195869 0.014133 0.185876 0.205863 2
43 582 0.193871 0.001884 0.192538 0.195203 2
44 573 0.190873 0.001413 0.189873 0.191872 2
45 570 0.189873 0.004711 0.186542 0.193205 2
46 567 0.188874 0.010835 0.181213 0.196536 2
47 567 0.188874 0.001413 0.187875 0.189873 2
48 565 0.188208 0.007066 0.183211 0.193205 2
49 549 0.182878 0.022141 0.167222 0.198534 2
50 548 0.182545 0.010364 0.175217 0.189873 2
51 353 0.117588 0.000471 0.117255 0.117921 2
52 352 0.117255 0.006595 0.112592 0.121919 2
53 344 0.114590 0.013191 0.105263 0.123917 2
54 341 0.113591 0.001413 0.112592 0.114590 2
55 341 0.113591 0.004240 0.110593 0.116589 2
56 339 0.112925 0.009893 0.105929 0.119920 2
57 339 0.112925 0.004240 0.109927 0.115923 2
58 335 0.111592 0.005182 0.107928 0.115256 2
59 335 0.111592 0.007066 0.106596 0.116589 2
60 334 0.111259 0.000000 0.111259 0.111259 2
61 334 0.111259 0.003769 0.108594 0.113924 2
62 332 0.110593 0.018844 0.097268 0.123917 2
63 330 0.109927 0.001884 0.108594 0.111259 2
64 326 0.108594 0.000942 0.107928 0.109260 2
65 324 0.107928 0.001884 0.106596 0.109260 2
66 322 0.107262 0.000942 0.106596 0.107928 2
67 322 0.107262 0.005653 0.103264 0.111259 2
68 318 0.105929 0.011306 0.097935 0.113924 2
69 315 0.104930 0.000471 0.104597 0.105263 2
70 303 0.100933 0.000471 0.100600 0.101266 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.000589 0.000000 0.000000 0.001785 0.000408 1.000 2
length{all}[2] 0.000564 0.000000 0.000000 0.001725 0.000376 1.001 2
length{all}[3] 0.000567 0.000000 0.000000 0.001750 0.000369 1.000 2
length{all}[4] 0.001165 0.000001 0.000038 0.002980 0.000944 1.000 2
length{all}[5] 0.001191 0.000001 0.000006 0.003025 0.000972 1.000 2
length{all}[6] 0.000578 0.000000 0.000000 0.001779 0.000395 1.000 2
length{all}[7] 0.000574 0.000000 0.000000 0.001731 0.000387 1.000 2
length{all}[8] 0.000560 0.000000 0.000000 0.001692 0.000376 1.001 2
length{all}[9] 0.001174 0.000001 0.000015 0.002872 0.000949 1.000 2
length{all}[10] 0.001150 0.000001 0.000005 0.002887 0.000924 1.000 2
length{all}[11] 0.001709 0.000001 0.000166 0.003938 0.001459 1.001 2
length{all}[12] 0.000570 0.000000 0.000000 0.001715 0.000379 1.000 2
length{all}[13] 0.000576 0.000000 0.000000 0.001718 0.000383 1.000 2
length{all}[14] 0.000577 0.000000 0.000000 0.001815 0.000391 1.000 2
length{all}[15] 0.000588 0.000000 0.000000 0.001773 0.000397 1.000 2
length{all}[16] 0.002366 0.000002 0.000348 0.004772 0.002147 1.000 2
length{all}[17] 0.000593 0.000000 0.000000 0.001859 0.000403 1.000 2
length{all}[18] 0.000554 0.000000 0.000000 0.001686 0.000386 1.001 2
length{all}[19] 0.001207 0.000001 0.000040 0.003029 0.000971 1.000 2
length{all}[20] 0.000604 0.000000 0.000000 0.001838 0.000421 1.000 2
length{all}[21] 0.000586 0.000000 0.000000 0.001817 0.000401 1.001 2
length{all}[22] 0.000562 0.000000 0.000000 0.001700 0.000388 1.001 2
length{all}[23] 0.001159 0.000001 0.000034 0.002743 0.000946 1.000 2
length{all}[24] 0.000584 0.000000 0.000000 0.001734 0.000391 1.000 2
length{all}[25] 0.000594 0.000000 0.000000 0.001800 0.000403 1.000 2
length{all}[26] 0.000592 0.000000 0.000000 0.001795 0.000403 1.001 2
length{all}[27] 0.000562 0.000000 0.000000 0.001709 0.000366 1.000 2
length{all}[28] 0.000586 0.000000 0.000000 0.001729 0.000418 1.000 2
length{all}[29] 0.001757 0.000001 0.000115 0.003886 0.001540 1.000 2
length{all}[30] 0.001164 0.000001 0.000018 0.002791 0.000979 1.000 2
length{all}[31] 0.002341 0.000002 0.000448 0.004775 0.002143 1.000 2
length{all}[32] 0.002366 0.000002 0.000437 0.004960 0.002101 1.000 2
length{all}[33] 0.003520 0.000003 0.000951 0.006641 0.003270 1.000 2
length{all}[34] 0.001155 0.000001 0.000036 0.002747 0.000949 1.001 2
length{all}[35] 0.001163 0.000001 0.000004 0.002821 0.000960 1.000 2
length{all}[36] 0.001150 0.000001 0.000036 0.002918 0.000931 1.000 2
length{all}[37] 0.001131 0.000001 0.000015 0.002780 0.000932 1.002 2
length{all}[38] 0.000615 0.000000 0.000002 0.001896 0.000423 1.004 2
length{all}[39] 0.000561 0.000000 0.000000 0.001607 0.000378 0.999 2
length{all}[40] 0.000586 0.000000 0.000000 0.001696 0.000417 1.001 2
length{all}[41] 0.000572 0.000000 0.000001 0.001698 0.000377 0.999 2
length{all}[42] 0.000603 0.000000 0.000001 0.001709 0.000427 1.001 2
length{all}[43] 0.000611 0.000000 0.000001 0.001908 0.000402 1.000 2
length{all}[44] 0.000589 0.000000 0.000000 0.001752 0.000385 1.000 2
length{all}[45] 0.000580 0.000000 0.000000 0.001772 0.000407 0.999 2
length{all}[46] 0.000607 0.000000 0.000001 0.001966 0.000408 1.001 2
length{all}[47] 0.000602 0.000000 0.000001 0.001790 0.000420 1.004 2
length{all}[48] 0.000531 0.000000 0.000001 0.001573 0.000372 1.005 2
length{all}[49] 0.000590 0.000000 0.000000 0.001855 0.000374 0.998 2
length{all}[50] 0.000564 0.000000 0.000000 0.001874 0.000374 0.998 2
length{all}[51] 0.000596 0.000000 0.000005 0.001808 0.000418 1.002 2
length{all}[52] 0.000590 0.000000 0.000000 0.001848 0.000422 0.997 2
length{all}[53] 0.000617 0.000000 0.000000 0.001895 0.000411 0.997 2
length{all}[54] 0.000614 0.000000 0.000001 0.001926 0.000361 0.998 2
length{all}[55] 0.000595 0.000000 0.000003 0.001956 0.000402 0.999 2
length{all}[56] 0.000657 0.000000 0.000001 0.001883 0.000453 0.998 2
length{all}[57] 0.000616 0.000000 0.000002 0.001698 0.000430 0.997 2
length{all}[58] 0.000541 0.000000 0.000000 0.001484 0.000408 0.997 2
length{all}[59] 0.000654 0.000001 0.000001 0.002338 0.000394 0.998 2
length{all}[60] 0.000567 0.000000 0.000000 0.001565 0.000445 0.997 2
length{all}[61] 0.000615 0.000000 0.000001 0.001806 0.000434 0.999 2
length{all}[62] 0.000595 0.000000 0.000001 0.001748 0.000452 0.997 2
length{all}[63] 0.000658 0.000000 0.000002 0.002130 0.000447 0.999 2
length{all}[64] 0.000614 0.000000 0.000002 0.001894 0.000408 1.014 2
length{all}[65] 0.000567 0.000000 0.000000 0.001935 0.000373 0.997 2
length{all}[66] 0.000569 0.000000 0.000002 0.001543 0.000397 1.003 2
length{all}[67] 0.000589 0.000000 0.000001 0.001692 0.000400 1.000 2
length{all}[68] 0.000559 0.000000 0.000004 0.001659 0.000367 0.998 2
length{all}[69] 0.000589 0.000000 0.000001 0.001850 0.000379 1.001 2
length{all}[70] 0.000614 0.000000 0.000000 0.001871 0.000416 1.006 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.005889
Maximum standard deviation of split frequencies = 0.022141
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.014
Clade credibility values:
/---------------------------------------------------------------------- C10 (1)
|
|---------------------------------------------------------------------- C2 (8)
|
| /---------------------------- C11 (2)
| |
| |---------------------------- C13 (3)
| |
| |---------------------------- C14 (4)
| |
| |---------------------------- C15 (5)
| |
| | /-------------- C16 (6)
| |------99-----+
| | \-------------- C56 (26)
| |
| |---------------------------- C17 (7)
| |
| | /-------------- C21 (9)
| | |
| | |-------------- C36 (15)
| | |
| | |-------------- C38 (17)
| |------93-----+
+ /-----100-----+ |-------------- C51 (23)
| | | |
| | | |-------------- C58 (27)
| | | |
| | | \-------------- C59 (28)
| | |
| | |---------------------------- C27 (12)
| | |
| | |---------------------------- C31 (14)
| | |
| | |---------------------------- C39 (18)
| /------91-----+ |
| | | |---------------------------- C44 (20)
| | | |
| | | |---------------------------- C47 (21)
| | | |
| | | |---------------------------- C48 (22)
| | | |
| | | |---------------------------- C52 (24)
| | | |
| | | \---------------------------- C53 (25)
| | |
| | \------------------------------------------ C4 (19)
\-----100-----+
| /-------------- C22 (10)
|-------------------100-------------------+
| \-------------- C37 (16)
|
| /-------------- C23 (11)
| |
|--------------------95-------------------+-------------- C3 (13)
| |
| \-------------- C7 (29)
|
\-------------------------------------------------------- C8 (30)
Phylogram (based on average branch lengths):
/---- C10 (1)
|
|--- C2 (8)
|
| /--- C11 (2)
| |
| |--- C13 (3)
| |
| |--------- C14 (4)
| |
| |--------- C15 (5)
| |
| | /--- C16 (6)
| |--------+
| | \--- C56 (26)
| |
| |---- C17 (7)
| |
| | /-------- C21 (9)
| | |
| | |--- C36 (15)
| | |
| | |--- C38 (17)
| |--------+
+ /-------------------+ |-------- C51 (23)
| | | |
| | | |--- C58 (27)
| | | |
| | | \--- C59 (28)
| | |
| | |--- C27 (12)
| | |
| | |---- C31 (14)
| | |
| | |--- C39 (18)
| /-------+ |
| | | |---- C44 (20)
| | | |
| | | |---- C47 (21)
| | | |
| | | |---- C48 (22)
| | | |
| | | |---- C52 (24)
| | | |
| | | \---- C53 (25)
| | |
| | \--------- C4 (19)
\-------------------+
| /--------- C22 (10)
|-----------------------------+
| \-------------------- C37 (16)
|
| /------------- C23 (11)
| |
|--------+--- C3 (13)
| |
| \-------------- C7 (29)
|
\--------- C8 (30)
|--------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 21:33:43 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/codeml,NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C52 651 sites
reading seq# 2 C59 651 sites
reading seq# 3 C58 651 sites
reading seq# 4 C4 651 sites
reading seq# 5 C2 651 sites
reading seq# 6 C7 651 sites
reading seq# 7 C53 651 sites
reading seq# 8 C13 651 sites
reading seq# 9 C10 651 sites
reading seq#10 C17 651 sites
reading seq#11 C36 651 sites
reading seq#12 C44 651 sites
reading seq#13 C21 651 sites
reading seq#14 C48 651 sites
reading seq#15 C8 651 sites
reading seq#16 C27 651 sites
reading seq#17 C16 651 sites
reading seq#18 C56 651 sites
reading seq#19 C15 651 sites
reading seq#20 C47 651 sites
reading seq#21 C37 651 sites
reading seq#22 C31 651 sites
reading seq#23 C38 651 sites
reading seq#24 C23 651 sites
reading seq#25 C14 651 sites
reading seq#26 C22 651 sites
reading seq#27 C11 651 sites
reading seq#28 C51 651 sites
reading seq#29 C3 651 sites
reading seq#30 C39 651 sitesns = 30 ls = 651
Reading sequences, sequential format..
Reading seq # 1: C52
Reading seq # 2: C59
Reading seq # 3: C58
Reading seq # 4: C4
Reading seq # 5: C2
Reading seq # 6: C7
Reading seq # 7: C53
Reading seq # 8: C13
Reading seq # 9: C10
Reading seq #10: C17
Reading seq #11: C36
Reading seq #12: C44
Reading seq #13: C21
Reading seq #14: C48
Reading seq #15: C8
Reading seq #16: C27
Reading seq #17: C16
Reading seq #18: C56
Reading seq #19: C15
Reading seq #20: C47
Reading seq #21: C37
Reading seq #22: C31
Reading seq #23: C38
Reading seq #24: C23
Reading seq #25: C14
Reading seq #26: C22
Reading seq #27: C11
Reading seq #28: C51
Reading seq #29: C3
Reading seq #30: C39
Sequences read..
Counting site patterns.. 0:00
Compressing, 82 patterns at 217 / 217 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 82 patterns at 217 / 217 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
80032 bytes for conP
7216 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
320128 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.034251 0.090125 0.033609 0.076143 0.021782 0.099788 0.076371 0.058228 0.046317 0.066988 0.016241 0.044569 0.089212 0.035671 0.076231 0.027552 0.042690 0.101467 0.054593 0.094589 0.108973 0.071207 0.092656 0.108876 0.109873 0.039524 0.021091 0.040834 0.061519 0.093492 0.026767 0.098664 0.043906 0.031217 0.057416 0.081473 0.069952 0.300000 0.681363 0.331323
ntime & nrate & np: 37 2 40
Bounds (np=40):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 13.169053
np = 40
lnL0 = -1475.184977
Iterating by ming2
Initial: fx= 1475.184977
x= 0.03425 0.09012 0.03361 0.07614 0.02178 0.09979 0.07637 0.05823 0.04632 0.06699 0.01624 0.04457 0.08921 0.03567 0.07623 0.02755 0.04269 0.10147 0.05459 0.09459 0.10897 0.07121 0.09266 0.10888 0.10987 0.03952 0.02109 0.04083 0.06152 0.09349 0.02677 0.09866 0.04391 0.03122 0.05742 0.08147 0.06995 0.30000 0.68136 0.33132
1 h-m-p 0.0000 0.0001 982.1795 ++ 1384.852413 m 0.0001 45 | 1/40
2 h-m-p 0.0000 0.0000 8888.5537 ++ 1361.871057 m 0.0000 88 | 2/40
3 h-m-p 0.0000 0.0000 13263.9356 ++ 1331.611077 m 0.0000 131 | 3/40
4 h-m-p 0.0000 0.0000 1224.8873 ++ 1303.255821 m 0.0000 174 | 4/40
5 h-m-p 0.0000 0.0000 1035.2967 ++ 1288.861740 m 0.0000 217 | 5/40
6 h-m-p 0.0000 0.0000 2401.3299 ++ 1284.918934 m 0.0000 260 | 6/40
7 h-m-p 0.0000 0.0000 2474.4578 ++ 1279.701783 m 0.0000 303 | 7/40
8 h-m-p 0.0000 0.0000 9650.7748 ++ 1275.049308 m 0.0000 346 | 8/40
9 h-m-p 0.0000 0.0000 59258.9523 ++ 1249.920308 m 0.0000 389 | 9/40
10 h-m-p 0.0000 0.0000 6157.0703 ++ 1243.501879 m 0.0000 432 | 10/40
11 h-m-p 0.0000 0.0000 35965.7039 ++ 1214.351980 m 0.0000 475 | 11/40
12 h-m-p 0.0000 0.0000 18416.8389 ++ 1204.082635 m 0.0000 518 | 12/40
13 h-m-p 0.0000 0.0000 8856.5638 ++ 1180.505788 m 0.0000 561 | 13/40
14 h-m-p 0.0000 0.0000 4840510.0948 ++ 1175.952523 m 0.0000 604 | 14/40
15 h-m-p 0.0000 0.0000 24985.5121 ++ 1174.905828 m 0.0000 647 | 15/40
16 h-m-p 0.0000 0.0000 3947.6100 ++ 1172.435262 m 0.0000 690 | 16/40
17 h-m-p 0.0000 0.0000 12298.6439 ++ 1166.528957 m 0.0000 733 | 17/40
18 h-m-p 0.0000 0.0000 2486.0960 ++ 1157.689075 m 0.0000 776 | 18/40
19 h-m-p 0.0000 0.0000 3671.2034 ++ 1157.617186 m 0.0000 819 | 19/40
20 h-m-p 0.0000 0.0000 1064.4910 ++ 1157.036020 m 0.0000 862 | 20/40
21 h-m-p 0.0000 0.0002 479.2691 ++YYYCYCCCC 1128.369861 8 0.0002 920 | 20/40
22 h-m-p 0.0000 0.0000 2037.9000 +YYYYYC 1123.671349 5 0.0000 969 | 20/40
23 h-m-p 0.0000 0.0000 1367.7129 +YYCYCCC 1110.550657 6 0.0000 1022 | 20/40
24 h-m-p 0.0000 0.0001 359.5245 +YYCCCC 1108.912986 5 0.0000 1074 | 20/40
25 h-m-p 0.0000 0.0000 351.8346 CYCCC 1108.539830 4 0.0000 1124 | 20/40
26 h-m-p 0.0000 0.0001 144.5456 CYCCC 1108.383527 4 0.0000 1174 | 20/40
27 h-m-p 0.0000 0.0002 112.4173 YCCC 1108.122542 3 0.0001 1222 | 20/40
28 h-m-p 0.0000 0.0002 189.0915 +YYYYC 1107.183508 4 0.0001 1270 | 20/40
29 h-m-p 0.0000 0.0002 850.0743 +YYCYYCCC 1102.239253 7 0.0001 1325 | 20/40
30 h-m-p 0.0002 0.0012 161.6561 +YYYCYCCC 1097.019810 7 0.0010 1379 | 20/40
31 h-m-p 0.0003 0.0014 208.4435 YCCCC 1094.385578 4 0.0006 1429 | 20/40
32 h-m-p 0.0007 0.0037 11.1346 +YYCYCC 1093.217109 5 0.0024 1480 | 20/40
33 h-m-p 0.0005 0.0026 18.8328 +YYCCCC 1091.840924 5 0.0016 1532 | 20/40
34 h-m-p 0.0014 0.0068 14.7343 +YYCYCCC 1087.782632 6 0.0057 1585 | 20/40
35 h-m-p 0.0001 0.0006 24.9147 ++ 1087.060523 m 0.0006 1628 | 21/40
36 h-m-p 0.0021 0.0151 4.0101 +YYYYC 1085.797897 4 0.0078 1676 | 20/40
37 h-m-p 0.0016 0.0082 13.2151 CYC 1085.751131 2 0.0005 1722 | 20/40
38 h-m-p 0.0055 0.0963 1.1507 +++ 1078.227339 m 0.0963 1766 | 21/40
39 h-m-p 0.0626 1.2840 0.4144 +YYCCC 1075.580397 4 0.3720 1816 | 21/40
40 h-m-p 0.0265 0.1327 0.4140 +YCYCCC 1074.499789 5 0.0805 1887 | 21/40
41 h-m-p 0.0649 0.4644 0.5138 +YYYYYCCCC 1072.511719 8 0.2661 1961 | 21/40
42 h-m-p 0.0803 0.4014 0.7962 CCCCC 1071.613132 4 0.1179 2031 | 21/40
43 h-m-p 0.1628 1.1228 0.5765 +YYCC 1069.604239 3 0.5771 2098 | 21/40
44 h-m-p 0.5678 2.8388 0.4822 YCCC 1067.167942 3 1.2794 2165 | 21/40
45 h-m-p 0.7894 3.9470 0.2794 +YCYCCC 1065.086502 5 2.1547 2236 | 21/40
46 h-m-p 0.4297 2.1484 0.5196 CCCC 1064.350499 3 0.5952 2304 | 21/40
47 h-m-p 0.6396 3.1979 0.4669 CCC 1063.715811 2 0.9172 2370 | 21/40
48 h-m-p 0.7843 5.1694 0.5460 YCC 1063.028675 2 1.3201 2435 | 21/40
49 h-m-p 1.6000 8.0000 0.4090 CCCC 1062.513813 3 2.3287 2503 | 21/40
50 h-m-p 1.6000 8.0000 0.3472 CYC 1062.250517 2 1.9645 2568 | 21/40
51 h-m-p 1.6000 8.0000 0.3567 YC 1062.013913 1 3.3608 2631 | 21/40
52 h-m-p 1.6000 8.0000 0.4123 CCC 1061.904101 2 1.9629 2697 | 21/40
53 h-m-p 1.6000 8.0000 0.1531 CC 1061.890880 1 1.5387 2761 | 21/40
54 h-m-p 1.6000 8.0000 0.0102 CC 1061.888180 1 1.8057 2825 | 21/40
55 h-m-p 0.4884 8.0000 0.0375 +C 1061.887219 0 2.0859 2888 | 21/40
56 h-m-p 1.6000 8.0000 0.0046 C 1061.887033 0 1.7954 2950 | 21/40
57 h-m-p 1.6000 8.0000 0.0032 YC 1061.886979 1 3.2910 3013 | 21/40
58 h-m-p 1.6000 8.0000 0.0027 C 1061.886963 0 1.7533 3075 | 21/40
59 h-m-p 1.6000 8.0000 0.0017 C 1061.886961 0 2.0544 3137 | 21/40
60 h-m-p 1.6000 8.0000 0.0006 C 1061.886960 0 2.2812 3199 | 21/40
61 h-m-p 1.6000 8.0000 0.0006 C 1061.886960 0 2.4659 3261 | 21/40
62 h-m-p 1.6000 8.0000 0.0001 Y 1061.886959 0 1.0964 3323 | 21/40
63 h-m-p 1.6000 8.0000 0.0001 C 1061.886959 0 0.5403 3385 | 21/40
64 h-m-p 0.6999 8.0000 0.0000 C 1061.886959 0 0.2543 3447 | 21/40
65 h-m-p 0.3440 8.0000 0.0000 Y 1061.886959 0 0.1643 3509 | 21/40
66 h-m-p 0.1891 8.0000 0.0000 Y 1061.886959 0 0.1021 3571 | 21/40
67 h-m-p 0.1336 8.0000 0.0000 Y 1061.886959 0 0.1336 3633 | 21/40
68 h-m-p 0.1347 8.0000 0.0000 -------C 1061.886959 0 0.0000 3702
Out..
lnL = -1061.886959
3703 lfun, 11109 eigenQcodon, 274022 P(t)
end of tree file.
Time used: 1:20
Model 2: PositiveSelection
TREE # 1
(9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.053383 0.033767 0.077379 0.093842 0.012083 0.092792 0.043838 0.039142 0.100247 0.013523 0.070047 0.087322 0.083264 0.085499 0.042643 0.036145 0.091709 0.083226 0.026644 0.078323 0.102005 0.030751 0.088049 0.051983 0.103700 0.098558 0.017906 0.066411 0.076805 0.037465 0.018781 0.095290 0.077625 0.029237 0.089564 0.104591 0.106534 7.993869 1.785697 0.147782 0.289341 1.549869
ntime & nrate & np: 37 3 42
Bounds (np=42):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 2.734012
np = 42
lnL0 = -1437.744251
Iterating by ming2
Initial: fx= 1437.744251
x= 0.05338 0.03377 0.07738 0.09384 0.01208 0.09279 0.04384 0.03914 0.10025 0.01352 0.07005 0.08732 0.08326 0.08550 0.04264 0.03614 0.09171 0.08323 0.02664 0.07832 0.10201 0.03075 0.08805 0.05198 0.10370 0.09856 0.01791 0.06641 0.07680 0.03747 0.01878 0.09529 0.07763 0.02924 0.08956 0.10459 0.10653 7.99387 1.78570 0.14778 0.28934 1.54987
1 h-m-p 0.0000 0.0001 916.4702 ++ 1347.407786 m 0.0001 47 | 1/42
2 h-m-p 0.0000 0.0000 17497.4044 ++ 1306.664957 m 0.0000 92 | 2/42
3 h-m-p 0.0000 0.0000 34260.4266 ++ 1288.721086 m 0.0000 137 | 3/42
4 h-m-p 0.0000 0.0000 500493.8875 ++ 1275.138620 m 0.0000 182 | 4/42
5 h-m-p 0.0000 0.0000 95463.4171 ++ 1266.483097 m 0.0000 227 | 5/42
6 h-m-p 0.0000 0.0000 2018.6134 ++ 1235.258560 m 0.0000 272 | 6/42
7 h-m-p 0.0000 0.0000 5319.2687 ++ 1201.977510 m 0.0000 317 | 7/42
8 h-m-p 0.0000 0.0000 7105.5980 ++ 1187.220383 m 0.0000 362 | 8/42
9 h-m-p 0.0000 0.0000 5449.2630 ++ 1154.395251 m 0.0000 407 | 9/42
10 h-m-p 0.0000 0.0000 12928.3745 ++ 1140.168083 m 0.0000 452 | 10/42
11 h-m-p 0.0000 0.0000 10885.5061 ++ 1123.395367 m 0.0000 497 | 11/42
12 h-m-p 0.0000 0.0000 10529.3694 ++ 1113.054946 m 0.0000 542 | 12/42
13 h-m-p 0.0000 0.0000 7685.5655 ++ 1103.999684 m 0.0000 587 | 13/42
14 h-m-p 0.0000 0.0000 5135.2083 ++ 1102.537828 m 0.0000 632 | 14/42
15 h-m-p 0.0000 0.0000 2860.9419 ++ 1101.041221 m 0.0000 677 | 15/42
16 h-m-p 0.0000 0.0000 3930.7601 ++ 1098.813231 m 0.0000 722 | 16/42
17 h-m-p 0.0000 0.0000 3405.6035 ++ 1097.767732 m 0.0000 767 | 17/42
18 h-m-p 0.0000 0.0000 2106.9909 ++ 1093.574698 m 0.0000 812 | 18/42
19 h-m-p 0.0000 0.0000 1666.4024 ++ 1091.780962 m 0.0000 857 | 19/42
20 h-m-p 0.0000 0.0000 1292.2451 ++ 1091.243232 m 0.0000 902 | 20/42
21 h-m-p 0.0000 0.0002 130.5229 ++YYYCYC 1088.999828 5 0.0001 955 | 20/42
22 h-m-p 0.0004 0.0021 23.5870 +YYYYCYCCC 1084.328923 8 0.0017 1012 | 20/42
23 h-m-p 0.0000 0.0001 241.0786 +YYYCCC 1082.644342 5 0.0001 1065 | 20/42
24 h-m-p 0.0000 0.0001 317.0019 YCYCCC 1081.536258 5 0.0001 1118 | 20/42
25 h-m-p 0.0010 0.0059 17.4343 +YYYCC 1080.089512 4 0.0036 1169 | 20/42
26 h-m-p 0.0016 0.0082 29.0899 YCYCCC 1078.716499 5 0.0041 1222 | 20/42
27 h-m-p 0.0012 0.0062 78.9737 +YCYCCC 1073.470338 5 0.0052 1276 | 20/42
28 h-m-p 0.0001 0.0003 295.1076 ++ 1071.831066 m 0.0003 1321 | 21/42
29 h-m-p 0.0002 0.0008 312.9734 +CYC 1071.275214 2 0.0007 1370 | 21/42
30 h-m-p 0.0002 0.0009 48.7473 ++ 1070.998450 m 0.0009 1415 | 22/42
31 h-m-p 0.0017 0.0083 15.1013 +YYYCC 1069.264314 4 0.0065 1466 | 22/42
32 h-m-p 0.0198 0.0989 4.8207 CCCCC 1068.426842 4 0.0351 1519 | 22/42
33 h-m-p 0.0083 0.0414 11.7528 YCCCC 1067.474768 4 0.0166 1571 | 22/42
34 h-m-p 0.0092 0.0459 10.9257 YCCC 1066.454868 3 0.0206 1621 | 22/42
35 h-m-p 0.0108 0.0538 6.2953 YCYCCC 1065.758631 5 0.0288 1674 | 22/42
36 h-m-p 0.0608 0.3190 2.9783 CYCC 1065.242585 3 0.0794 1724 | 22/42
37 h-m-p 0.0805 0.4027 1.8520 YCCCCC 1063.460134 5 0.1710 1778 | 22/42
38 h-m-p 0.2584 1.2918 0.5400 CYCCC 1062.771393 4 0.4794 1830 | 21/42
39 h-m-p 0.3326 1.6630 0.7284 CYC 1062.334620 2 0.3622 1898 | 21/42
40 h-m-p 0.2514 1.2571 0.6517 YCCCC 1062.049716 4 0.5074 1971 | 21/42
41 h-m-p 0.3587 2.3422 0.9220 YCCC 1061.658145 3 0.8906 2042 | 21/42
42 h-m-p 0.9596 4.7980 0.6909 CCC 1061.420098 2 1.1991 2112 | 21/42
43 h-m-p 1.6000 8.0000 0.4601 CCC 1061.323037 2 1.2963 2182 | 21/42
44 h-m-p 1.6000 8.0000 0.3307 CC 1061.264887 1 1.5166 2250 | 21/42
45 h-m-p 1.6000 8.0000 0.2915 CCC 1061.212797 2 2.0395 2320 | 21/42
46 h-m-p 1.6000 8.0000 0.3278 YCCC 1061.191757 3 0.9056 2391 | 21/42
47 h-m-p 1.6000 8.0000 0.1684 YC 1061.181300 1 1.0274 2458 | 21/42
48 h-m-p 1.6000 8.0000 0.0435 YC 1061.174639 1 3.1513 2525 | 21/42
49 h-m-p 1.5390 8.0000 0.0890 YC 1061.168196 1 3.0208 2592 | 21/42
50 h-m-p 1.6000 8.0000 0.0785 CC 1061.164070 1 2.2205 2660 | 21/42
51 h-m-p 1.2977 8.0000 0.1344 CC 1061.159878 1 1.7052 2728 | 21/42
52 h-m-p 1.6000 8.0000 0.1407 CC 1061.156576 1 1.8625 2796 | 21/42
53 h-m-p 1.6000 8.0000 0.0741 CC 1061.154729 1 2.1678 2864 | 21/42
54 h-m-p 1.6000 8.0000 0.0709 YC 1061.152339 1 3.3782 2931 | 21/42
55 h-m-p 1.6000 8.0000 0.0856 CC 1061.150837 1 1.7992 2999 | 21/42
56 h-m-p 1.6000 8.0000 0.0255 CC 1061.150441 1 2.0683 3067 | 21/42
57 h-m-p 1.4381 8.0000 0.0367 ++ 1061.148837 m 8.0000 3133 | 21/42
58 h-m-p 0.9497 8.0000 0.3092 +YC 1061.145526 1 3.0729 3201 | 21/42
59 h-m-p 1.6000 8.0000 0.0661 CC 1061.144246 1 1.9715 3269 | 21/42
60 h-m-p 1.6000 8.0000 0.0246 +YC 1061.143119 1 5.3005 3337 | 21/42
61 h-m-p 0.9492 8.0000 0.1374 +CC 1061.141790 1 3.3801 3406 | 21/42
62 h-m-p 1.4064 8.0000 0.3301 +YC 1061.141055 1 3.8802 3474 | 21/42
63 h-m-p 1.6000 8.0000 0.2953 C 1061.140814 0 1.9448 3540 | 21/42
64 h-m-p 1.6000 8.0000 0.3054 YC 1061.140666 1 3.9292 3607 | 21/42
65 h-m-p 1.6000 8.0000 0.3759 YC 1061.140583 1 2.7449 3674 | 21/42
66 h-m-p 1.6000 8.0000 0.5083 YC 1061.140516 1 3.4579 3741 | 21/42
67 h-m-p 1.6000 8.0000 0.4893 C 1061.140501 0 1.7302 3807 | 21/42
68 h-m-p 1.6000 8.0000 0.1535 C 1061.140501 0 1.3114 3873 | 21/42
69 h-m-p 1.6000 8.0000 0.0188 C 1061.140501 0 2.4898 3939 | 21/42
70 h-m-p 1.6000 8.0000 0.0112 ++ 1061.140500 m 8.0000 4005 | 21/42
71 h-m-p 0.2237 8.0000 0.4021 ++Y 1061.140500 0 2.2454 4073 | 21/42
72 h-m-p 1.6000 8.0000 0.2735 Y 1061.140500 0 3.0384 4139 | 21/42
73 h-m-p 1.6000 8.0000 0.3386 Y 1061.140499 0 2.9002 4205 | 21/42
74 h-m-p 1.6000 8.0000 0.3683 C 1061.140499 0 2.4355 4271 | 21/42
75 h-m-p 1.6000 8.0000 0.3119 C 1061.140499 0 2.3443 4337 | 21/42
76 h-m-p 1.6000 8.0000 0.3554 Y 1061.140499 0 3.2162 4403 | 21/42
77 h-m-p 1.6000 8.0000 0.4295 C 1061.140499 0 2.2721 4469 | 21/42
78 h-m-p 1.6000 8.0000 0.4027 Y 1061.140499 0 2.8213 4535 | 21/42
79 h-m-p 1.6000 8.0000 0.0407 Y 1061.140499 0 1.1059 4601 | 21/42
80 h-m-p 0.3356 8.0000 0.1341 +++ 1061.140499 m 8.0000 4668 | 21/42
81 h-m-p 0.4342 8.0000 2.4713 Y 1061.140499 0 0.7259 4734 | 21/42
82 h-m-p 0.0059 0.2503 305.3719 +C 1061.140499 0 0.0235 4780 | 21/42
83 h-m-p 0.2500 2.4132 28.7003 +C 1061.140499 0 1.1211 4826 | 21/42
84 h-m-p 0.0704 0.3519 105.3799 ++ 1061.140499 m 0.3519 4871 | 21/42
85 h-m-p -0.0000 -0.0000 165.8512
h-m-p: -0.00000000e+00 -0.00000000e+00 1.65851229e+02 1061.140499
.. | 21/42
86 h-m-p 0.0006 0.2847 0.0499 --C 1061.140499 0 0.0000 4960 | 21/42
87 h-m-p 0.0068 3.3825 0.0057 ---C 1061.140499 0 0.0000 5029 | 21/42
88 h-m-p 0.0160 8.0000 0.0025 ---C 1061.140499 0 0.0001 5098 | 21/42
89 h-m-p 0.0160 8.0000 0.0004 ---Y 1061.140499 0 0.0001 5167
Out..
lnL = -1061.140499
5168 lfun, 20672 eigenQcodon, 573648 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 21 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -1074.801668 S = -1058.169123 -8.288853
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 82 patterns 4:05
did 20 / 82 patterns 4:05
did 30 / 82 patterns 4:05
did 40 / 82 patterns 4:06
did 50 / 82 patterns 4:06
did 60 / 82 patterns 4:06
did 70 / 82 patterns 4:06
did 80 / 82 patterns 4:06
did 82 / 82 patterns 4:06end of tree file.
Time used: 4:06
Model 7: beta
TREE # 1
(9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.086160 0.077771 0.012388 0.013057 0.077529 0.058386 0.109485 0.062461 0.017302 0.018286 0.107685 0.017598 0.013617 0.017632 0.019413 0.073972 0.072366 0.049398 0.057311 0.060856 0.095940 0.018807 0.086061 0.038853 0.036181 0.108609 0.046375 0.066874 0.056212 0.041135 0.093348 0.087003 0.030850 0.023066 0.066349 0.050656 0.090275 7.962185 0.438540 1.726371
ntime & nrate & np: 37 1 40
Bounds (np=40):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 4.175500
np = 40
lnL0 = -1383.809078
Iterating by ming2
Initial: fx= 1383.809078
x= 0.08616 0.07777 0.01239 0.01306 0.07753 0.05839 0.10949 0.06246 0.01730 0.01829 0.10769 0.01760 0.01362 0.01763 0.01941 0.07397 0.07237 0.04940 0.05731 0.06086 0.09594 0.01881 0.08606 0.03885 0.03618 0.10861 0.04637 0.06687 0.05621 0.04114 0.09335 0.08700 0.03085 0.02307 0.06635 0.05066 0.09028 7.96218 0.43854 1.72637
1 h-m-p 0.0000 0.0001 916.6402 ++ 1318.806826 m 0.0001 45 | 1/40
2 h-m-p 0.0000 0.0000 27458.5531 ++ 1300.355181 m 0.0000 88 | 2/40
3 h-m-p 0.0000 0.0000 42435.8647 ++ 1296.380213 m 0.0000 131 | 3/40
4 h-m-p 0.0000 0.0000 7595.5064 ++ 1259.781779 m 0.0000 174 | 3/40
5 h-m-p 0.0000 0.0000 43831.5972 +YYYYYYCCCC 1257.028062 9 0.0000 230 | 3/40
6 h-m-p 0.0000 0.0000 23893.9772 +YYYYYYC 1250.949775 6 0.0000 280 | 3/40
7 h-m-p 0.0000 0.0000 6066.6896 +YYYYCC 1249.064038 5 0.0000 330 | 3/40
8 h-m-p 0.0000 0.0000 13655.5671 ++ 1242.989883 m 0.0000 373 | 4/40
9 h-m-p 0.0000 0.0000 818.8772 ++ 1232.510872 m 0.0000 416 | 5/40
10 h-m-p 0.0000 0.0000 4964.6801 ++ 1206.204679 m 0.0000 459 | 6/40
11 h-m-p 0.0000 0.0000 1780.7955 +CCYYYYCCCC 1188.791013 10 0.0000 518 | 6/40
12 h-m-p 0.0000 0.0000 3203.9471 ++ 1172.812631 m 0.0000 561 | 7/40
13 h-m-p 0.0000 0.0000 4727.5932 ++ 1169.774739 m 0.0000 604 | 8/40
14 h-m-p 0.0000 0.0000 1419.7666 ++ 1162.773453 m 0.0000 647 | 9/40
15 h-m-p 0.0000 0.0000 3107.6957 ++ 1151.615536 m 0.0000 690 | 10/40
16 h-m-p 0.0000 0.0000 1707.9635 ++ 1148.553248 m 0.0000 733 | 11/40
17 h-m-p 0.0000 0.0000 1827.9274 ++ 1138.660747 m 0.0000 776 | 12/40
18 h-m-p 0.0000 0.0000 32226.5556 ++ 1136.162801 m 0.0000 819 | 13/40
19 h-m-p 0.0000 0.0000 4919.6081 ++ 1118.136605 m 0.0000 862 | 14/40
20 h-m-p 0.0000 0.0000 2189.3220 ++ 1105.867541 m 0.0000 905 | 15/40
21 h-m-p 0.0000 0.0000 678.7622 ++ 1102.790002 m 0.0000 948 | 16/40
22 h-m-p 0.0000 0.0000 3770.2024 ++ 1095.045300 m 0.0000 991 | 17/40
23 h-m-p 0.0000 0.0000 1716.0670 ++ 1094.605261 m 0.0000 1034 | 18/40
24 h-m-p 0.0000 0.0000 2119.3628 ++ 1094.180823 m 0.0000 1077 | 19/40
25 h-m-p 0.0000 0.0000 386.6350 ++ 1092.489187 m 0.0000 1120 | 20/40
26 h-m-p 0.0001 0.0046 11.3428 +++ 1088.399712 m 0.0046 1164 | 20/40
27 h-m-p 0.0006 0.0031 24.9627 +YYYCCC 1085.425189 5 0.0022 1215 | 20/40
28 h-m-p 0.0004 0.0019 40.0178 +YYCCCC 1084.004334 5 0.0013 1267 | 20/40
29 h-m-p 0.0016 0.0095 32.7593 +YYCCC 1081.281434 4 0.0051 1317 | 20/40
30 h-m-p 0.0009 0.0046 43.5880 +YYCYCCC 1079.160133 6 0.0031 1370 | 20/40
31 h-m-p 0.0005 0.0024 27.7178 CYCCCC 1078.928439 5 0.0007 1422 | 20/40
32 h-m-p 0.0068 0.0342 2.3577 +YCYCCC 1077.918287 5 0.0197 1474 | 20/40
33 h-m-p 0.0006 0.0032 33.6024 +YCYCC 1076.831193 4 0.0018 1524 | 20/40
34 h-m-p 0.0136 0.0681 2.5564 YCCCC 1075.923299 4 0.0259 1574 | 20/40
35 h-m-p 0.0085 0.0427 1.6424 CYCCC 1075.537017 4 0.0146 1624 | 20/40
36 h-m-p 0.0318 0.2342 0.7561 YCCC 1074.647259 3 0.0754 1672 | 20/40
37 h-m-p 0.0004 0.0020 50.3696 C 1074.638849 0 0.0001 1735 | 20/40
38 h-m-p 0.0025 0.0743 1.9655 +YCCC 1074.072206 3 0.0225 1784 | 20/40
39 h-m-p 0.1457 0.7286 0.1099 YCCC 1073.114116 3 0.3463 1832 | 20/40
40 h-m-p 0.1012 1.3310 0.3759 YYCCC 1072.388183 4 0.1654 1901 | 20/40
41 h-m-p 0.2194 2.5333 0.2834 +YCYCCC 1070.764174 5 1.7051 1974 | 20/40
42 h-m-p 0.0536 0.2682 3.2726 YCYCCC 1069.734929 5 0.1262 2045 | 20/40
43 h-m-p 0.6739 3.3695 0.1200 YCCCC 1069.343128 4 0.3966 2095 | 20/40
44 h-m-p 0.0860 1.8860 0.5536 +CCCCC 1069.109601 4 0.4736 2167 | 20/40
45 h-m-p 0.3580 1.7901 0.0933 YCCCC 1068.779056 4 0.7733 2237 | 20/40
46 h-m-p 0.7555 3.7774 0.0827 CCCC 1068.530709 3 1.0258 2306 | 20/40
47 h-m-p 0.2623 1.4531 0.3233 CYCCC 1068.208793 4 0.5283 2376 | 20/40
48 h-m-p 0.1420 0.7101 0.6809 CCC 1068.180503 2 0.1498 2443 | 20/40
49 h-m-p 0.0947 0.4763 1.0768 YCC 1068.175209 2 0.0441 2509 | 20/40
50 h-m-p 0.3131 2.5364 0.1518 +CYYCCC 1067.714801 5 1.7489 2561 | 20/40
51 h-m-p 0.0211 0.1054 0.4658 YYY 1067.670836 2 0.0201 2626 | 20/40
52 h-m-p 0.0599 0.5495 0.1561 +CYC 1067.640423 2 0.3356 2693 | 20/40
53 h-m-p 0.0375 0.1877 0.2240 +YCYC 1067.593722 3 0.1049 2761 | 20/40
54 h-m-p 0.0365 0.1826 0.0855 +YC 1067.586439 1 0.1553 2826 | 20/40
55 h-m-p 0.0810 1.2779 0.1641 YC 1067.576434 1 0.0524 2890 | 20/40
56 h-m-p 0.0694 0.3468 0.0333 C 1067.572864 0 0.0701 2953 | 20/40
57 h-m-p 0.1253 0.9175 0.0186 YC 1067.568902 1 0.0567 3017 | 20/40
58 h-m-p 0.0500 1.5223 0.0211 YC 1067.566443 1 0.0350 3081 | 20/40
59 h-m-p 0.0169 1.2109 0.0436 CC 1067.564798 1 0.0241 3146 | 20/40
60 h-m-p 0.0153 1.0166 0.0685 CC 1067.563692 1 0.0174 3211 | 20/40
61 h-m-p 0.0128 0.8857 0.0926 C 1067.562912 0 0.0132 3274 | 20/40
62 h-m-p 0.0106 0.7930 0.1151 C 1067.562334 0 0.0104 3337 | 20/40
63 h-m-p 0.0088 0.7251 0.1357 C 1067.561887 0 0.0086 3400 | 20/40
64 h-m-p 0.0075 0.6742 0.1542 C 1067.561530 0 0.0072 3463 | 20/40
65 h-m-p 0.0065 0.6349 0.1708 C 1067.561236 0 0.0062 3526 | 20/40
66 h-m-p 0.0057 0.6041 0.1856 C 1067.560991 0 0.0055 3589 | 20/40
67 h-m-p 0.0051 0.5793 0.1988 C 1067.560784 0 0.0048 3652 | 20/40
68 h-m-p 0.0046 0.5589 0.2107 C 1067.560608 0 0.0043 3715 | 20/40
69 h-m-p 0.0041 0.5419 0.2216 C 1067.560455 0 0.0039 3778 | 20/40
70 h-m-p 0.0037 0.5275 0.2316 C 1067.560323 0 0.0035 3841 | 20/40
71 h-m-p 0.0034 0.5150 0.2410 C 1067.560207 0 0.0032 3904 | 20/40
72 h-m-p 0.0031 0.5041 0.2498 C 1067.560105 0 0.0030 3967 | 20/40
73 h-m-p 0.0029 0.4944 0.2582 C 1067.560014 0 0.0027 4030 | 20/40
74 h-m-p 0.0026 0.4858 0.2663 C 1067.559931 0 0.0025 4093 | 20/40
75 h-m-p 0.0025 0.4780 0.2743 C 1067.559857 0 0.0024 4156 | 20/40
76 h-m-p 0.0023 0.4709 0.2821 C 1067.559789 0 0.0022 4219 | 20/40
77 h-m-p 0.0022 0.4645 0.2898 C 1067.559726 0 0.0021 4282 | 20/40
78 h-m-p 0.0020 0.4586 0.2976 C 1067.559668 0 0.0020 4345 | 20/40
79 h-m-p 0.0019 0.4531 0.3053 C 1067.559614 0 0.0019 4408 | 20/40
80 h-m-p 0.0018 0.4481 0.3131 C 1067.559563 0 0.0018 4471 | 20/40
81 h-m-p 0.0017 0.4435 0.3209 C 1067.559514 0 0.0017 4534 | 20/40
82 h-m-p 0.0017 0.4392 0.3289 C 1067.559469 0 0.0016 4597 | 20/40
83 h-m-p 0.0016 0.4353 0.3369 C 1067.559425 0 0.0016 4660 | 20/40
84 h-m-p 0.0015 0.4316 0.3451 C 1067.559383 0 0.0015 4723 | 20/40
85 h-m-p 0.0015 0.4281 0.3534 C 1067.559343 0 0.0014 4786 | 20/40
86 h-m-p 0.0014 0.4250 0.3619 C 1067.559305 0 0.0014 4849 | 20/40
87 h-m-p 0.0014 0.4220 0.3705 C 1067.559267 0 0.0014 4912 | 20/40
88 h-m-p 0.0013 0.4193 0.3792 C 1067.559231 0 0.0013 4975 | 20/40
89 h-m-p 0.0013 0.4167 0.3881 C 1067.559196 0 0.0013 5038 | 20/40
90 h-m-p 0.0012 0.4143 0.3972 C 1067.559162 0 0.0012 5101 | 20/40
91 h-m-p 0.0012 0.4121 0.4064 C 1067.559128 0 0.0012 5164 | 20/40
92 h-m-p 0.0012 0.4101 0.4158 C 1067.559096 0 0.0012 5227 | 20/40
93 h-m-p 0.0011 0.4081 0.4254 C 1067.559064 0 0.0011 5290 | 20/40
94 h-m-p 0.0011 0.4064 0.4351 C 1067.559033 0 0.0011 5353 | 20/40
95 h-m-p 0.0011 0.4047 0.4450 C 1067.559002 0 0.0011 5416 | 20/40
96 h-m-p 0.0011 0.4032 0.4551 C 1067.558972 0 0.0011 5479 | 20/40
97 h-m-p 0.0010 0.4018 0.4654 C 1067.558943 0 0.0010 5542 | 20/40
98 h-m-p 0.0010 0.4005 0.4758 C 1067.558914 0 0.0010 5605 | 20/40
99 h-m-p 0.0010 0.3993 0.4864 C 1067.558885 0 0.0010 5668 | 20/40
100 h-m-p 0.0010 0.3981 0.4972 C 1067.558857 0 0.0010 5731 | 20/40
101 h-m-p 0.0010 0.3971 0.5082 C 1067.558829 0 0.0010 5794 | 20/40
102 h-m-p 0.0009 0.3962 0.5194 C 1067.558802 0 0.0009 5857 | 20/40
103 h-m-p 0.0009 0.3953 0.5307 C 1067.558776 0 0.0009 5920 | 20/40
104 h-m-p 0.0009 0.3945 0.5422 C 1067.558749 0 0.0009 5983 | 20/40
105 h-m-p 0.0009 0.3938 0.5539 C 1067.558723 0 0.0009 6046 | 20/40
106 h-m-p 0.0009 0.3931 0.5658 C 1067.558698 0 0.0009 6109 | 20/40
107 h-m-p 0.0009 0.3925 0.5779 C 1067.558673 0 0.0009 6172 | 20/40
108 h-m-p 0.0008 0.3920 0.5902 C 1067.558648 0 0.0008 6235 | 20/40
109 h-m-p 0.0008 0.3915 0.6026 C 1067.558624 0 0.0008 6298 | 20/40
110 h-m-p 0.0008 0.3911 0.6153 C 1067.558600 0 0.0008 6361 | 20/40
111 h-m-p 0.0008 0.3907 0.6281 C 1067.558576 0 0.0008 6424 | 20/40
112 h-m-p 0.0008 0.3904 0.6411 C 1067.558553 0 0.0008 6487 | 20/40
113 h-m-p 0.0008 0.3901 0.6544 C 1067.558530 0 0.0008 6550 | 20/40
114 h-m-p 0.0008 0.3899 0.6678 C 1067.558507 0 0.0008 6613 | 20/40
115 h-m-p 0.0008 0.3897 0.6814 C 1067.558485 0 0.0007 6676 | 20/40
116 h-m-p 0.0008 0.3895 0.6952 C 1067.558463 0 0.0007 6739 | 20/40
117 h-m-p 0.0008 0.3894 0.7092 C 1067.558441 0 0.0007 6802 | 20/40
118 h-m-p 0.0008 0.3893 0.7234 C 1067.558420 0 0.0007 6865 | 20/40
119 h-m-p 0.0008 0.3893 0.7378 C 1067.558399 0 0.0007 6928 | 20/40
120 h-m-p 0.0008 0.3893 0.7525 C 1067.558378 0 0.0007 6991 | 20/40
121 h-m-p 0.0008 0.3893 0.7673 C 1067.558358 0 0.0007 7054 | 20/40
122 h-m-p 0.0008 0.3894 0.7823 C 1067.558338 0 0.0007 7117 | 20/40
123 h-m-p 0.0008 0.3895 0.7975 C 1067.558318 0 0.0006 7180 | 20/40
124 h-m-p 0.0008 0.3896 0.8130 C 1067.558299 0 0.0006 7243 | 20/40
125 h-m-p 0.0008 0.3897 0.8286 C 1067.558279 0 0.0006 7306 | 20/40
126 h-m-p 0.0008 0.3899 0.8445 Y 1067.558260 0 0.0006 7369 | 20/40
127 h-m-p 0.0008 0.3901 0.8606 Y 1067.558242 0 0.0006 7432 | 20/40
128 h-m-p 0.0008 0.3903 0.8769 Y 1067.558224 0 0.0006 7495 | 20/40
129 h-m-p 0.0008 0.3905 0.8934 Y 1067.558206 0 0.0006 7558 | 20/40
130 h-m-p 0.0008 0.3908 0.9101 Y 1067.558188 0 0.0006 7621 | 20/40
131 h-m-p 0.0008 0.3911 0.9271 Y 1067.558170 0 0.0006 7684 | 20/40
132 h-m-p 0.0008 0.3914 0.9443 Y 1067.558153 0 0.0006 7747 | 20/40
133 h-m-p 0.0008 0.3917 0.9617 Y 1067.558136 0 0.0005 7810 | 20/40
134 h-m-p 0.0008 0.3921 0.9794 Y 1067.558120 0 0.0005 7873 | 20/40
135 h-m-p 0.0008 0.3924 0.9973 Y 1067.558103 0 0.0005 7936 | 20/40
136 h-m-p 0.0008 0.3928 1.0154 Y 1067.558087 0 0.0005 7999 | 20/40
137 h-m-p 0.0644 8.0000 0.0082 +++YC 1067.431587 1 2.5764 8046 | 20/40
138 h-m-p 0.9804 8.0000 0.0216 YCCC 1067.338857 3 2.0822 8114 | 20/40
139 h-m-p 0.6486 6.4531 0.0695 CCC 1067.254991 2 0.7899 8181 | 20/40
140 h-m-p 0.5949 4.6896 0.0923 YCC 1067.228633 2 0.4512 8247 | 20/40
141 h-m-p 0.2684 2.9074 0.1551 YC 1067.215674 1 0.2047 8311 | 20/40
142 h-m-p 0.1532 2.5020 0.2073 CC 1067.207040 1 0.1336 8376 | 20/40
143 h-m-p 0.1065 1.8706 0.2599 C 1067.199318 0 0.1065 8439 | 20/40
144 h-m-p 0.0917 1.4833 0.3021 CC 1067.192876 1 0.0816 8504 | 20/40
145 h-m-p 0.0750 1.2473 0.3286 CY 1067.187283 1 0.0674 8569 | 20/40
146 h-m-p 0.0661 1.1084 0.3351 CC 1067.182920 1 0.0546 8634 | 20/40
147 h-m-p 0.0562 1.0283 0.3255 YC 1067.179628 1 0.0447 8698 | 20/40
148 h-m-p 0.0475 0.9803 0.3061 YC 1067.177196 1 0.0369 8762 | 20/40
149 h-m-p 0.0400 0.9479 0.2823 YC 1067.175410 1 0.0305 8826 | 20/40
150 h-m-p 0.0335 0.9219 0.2570 YC 1067.174091 1 0.0254 8890 | 20/40
151 h-m-p 0.0282 0.8977 0.2316 YC 1067.173106 1 0.0213 8954 | 20/40
152 h-m-p 0.0239 0.8735 0.2064 YC 1067.172356 1 0.0180 9018 | 20/40
153 h-m-p 0.0205 0.8487 0.1813 YC 1067.171775 1 0.0153 9082 | 20/40
154 h-m-p 0.0177 0.8237 0.1561 YC 1067.171316 1 0.0131 9146 | 20/40
155 h-m-p 0.0157 0.7986 0.1307 YC 1067.170946 1 0.0113 9210 | 20/40
156 h-m-p 0.0141 0.7739 0.1049 YC 1067.170643 1 0.0099 9274 | 20/40
157 h-m-p 0.0132 0.7500 0.0786 YC 1067.170390 1 0.0087 9338 | 20/40
158 h-m-p 0.0131 0.7269 0.0523 YC 1067.170178 1 0.0077 9402 | 20/40
159 h-m-p 0.0146 0.7049 0.0275 YC 1067.169996 1 0.0068 9466 | 20/40
160 h-m-p 0.0100 0.6839 0.0187 YC 1067.169840 1 0.0061 9530 | 20/40
161 h-m-p 0.0028 0.6640 0.0403 YC 1067.169705 1 0.0055 9594 | 20/40
162 h-m-p 0.0032 0.6453 0.0684 CC 1067.169588 1 0.0050 9659 | 20/40
163 h-m-p 0.0035 0.6275 0.0979 C 1067.169484 0 0.0045 9722 | 20/40
164 h-m-p 0.0034 0.6108 0.1280 C 1067.169393 0 0.0041 9785 | 20/40
165 h-m-p 0.0033 0.5950 0.1586 C 1067.169312 0 0.0037 9848 | 20/40
166 h-m-p 0.0031 0.5801 0.1895 C 1067.169241 0 0.0034 9911 | 20/40
167 h-m-p 0.0029 0.5661 0.2205 C 1067.169177 0 0.0031 9974 | 20/40
168 h-m-p 0.0027 0.5528 0.2515 C 1067.169120 0 0.0028 10037 | 20/40
169 h-m-p 0.0025 0.5403 0.2825 C 1067.169069 0 0.0026 10100 | 20/40
170 h-m-p 0.0024 0.5284 0.3134 C 1067.169023 0 0.0024 10163 | 20/40
171 h-m-p 0.0022 0.5172 0.3441 C 1067.168982 0 0.0022 10226 | 20/40
172 h-m-p 0.0020 0.5065 0.3746 C 1067.168945 0 0.0021 10289 | 20/40
173 h-m-p 0.0019 0.4964 0.4047 C 1067.168911 0 0.0019 10352 | 20/40
174 h-m-p 0.0018 0.4868 0.4344 C 1067.168881 0 0.0018 10415 | 20/40
175 h-m-p 0.0017 0.4777 0.4637 C 1067.168853 0 0.0016 10478 | 20/40
176 h-m-p 0.0015 0.4690 0.4925 C 1067.168828 0 0.0015 10541 | 20/40
177 h-m-p 0.0014 0.4608 0.5207 C 1067.168806 0 0.0014 10604 | 20/40
178 h-m-p 0.0014 0.4529 0.5484 C 1067.168785 0 0.0013 10667 | 20/40
179 h-m-p 0.0013 0.4454 0.5754 C 1067.168766 0 0.0012 10730 | 20/40
180 h-m-p 0.0012 0.4382 0.6017 C 1067.168748 0 0.0012 10793 | 20/40
181 h-m-p 0.0011 0.4314 0.6274 C 1067.168732 0 0.0011 10856 | 20/40
182 h-m-p 0.0011 0.4248 0.6523 C 1067.168717 0 0.0010 10919 | 20/40
183 h-m-p 0.0010 0.4185 0.6764 C 1067.168704 0 0.0010 10982 | 20/40
184 h-m-p 0.0009 0.4125 0.6998 C 1067.168691 0 0.0009 11045 | 20/40
185 h-m-p 0.0009 0.4068 0.7224 C 1067.168680 0 0.0009 11108 | 20/40
186 h-m-p 0.0008 0.4013 0.7442 C 1067.168669 0 0.0008 11171 | 20/40
187 h-m-p 0.0008 0.3960 0.7651 C 1067.168659 0 0.0008 11234 | 20/40
188 h-m-p 0.0008 0.3909 0.7852 C 1067.168649 0 0.0007 11297 | 20/40
189 h-m-p 0.0008 0.3860 0.8045 C 1067.168641 0 0.0007 11360 | 20/40
190 h-m-p 0.0008 0.3813 0.8229 C 1067.168632 0 0.0007 11423 | 20/40
191 h-m-p 0.0008 0.3768 0.8405 C 1067.168625 0 0.0006 11486 | 20/40
192 h-m-p 0.0007 0.3725 0.8572 Y 1067.168618 0 0.0006 11549 | 20/40
193 h-m-p 0.0007 0.3683 0.8731 Y 1067.168611 0 0.0006 11612 | 20/40
194 h-m-p 0.0007 0.3625 0.8881 Y 1067.168605 0 0.0005 11675 | 20/40
195 h-m-p 0.0007 0.3559 0.9023 Y 1067.168599 0 0.0005 11738 | 20/40
196 h-m-p 0.0007 0.3497 0.9157 Y 1067.168593 0 0.0005 11801 | 20/40
197 h-m-p 0.0007 0.3440 0.9282 Y 1067.168587 0 0.0005 11864 | 20/40
198 h-m-p 0.0007 0.3388 0.9399 Y 1067.168582 0 0.0005 11927 | 20/40
199 h-m-p 0.0007 0.3340 0.9508 Y 1067.168577 0 0.0004 11990 | 20/40
200 h-m-p 0.0007 0.3295 0.9609 Y 1067.168573 0 0.0004 12053 | 20/40
201 h-m-p 0.0007 0.3254 0.9701 Y 1067.168568 0 0.0004 12116 | 20/40
202 h-m-p 0.0006 0.3216 0.9786 Y 1067.168564 0 0.0004 12179 | 20/40
203 h-m-p 0.0006 0.3181 0.9864 Y 1067.168560 0 0.0004 12242 | 20/40
204 h-m-p 0.0006 0.3149 0.9933 Y 1067.168556 0 0.0004 12305 | 20/40
205 h-m-p 0.0006 0.3120 0.9995 Y 1067.168553 0 0.0004 12368 | 20/40
206 h-m-p 0.0006 0.3093 1.0051 Y 1067.168549 0 0.0003 12431 | 20/40
207 h-m-p 0.0160 8.0000 0.0451 +++YCCC 1066.986391 3 1.7913 12482 | 20/40
208 h-m-p 1.6000 8.0000 0.0125 +YCCC 1066.827376 3 5.2581 12551 | 20/40
209 h-m-p 0.7680 3.8399 0.0130 YCC 1066.813518 2 0.4697 12617 | 20/40
210 h-m-p 0.6976 7.2468 0.0088 YC 1066.807493 1 0.4040 12681 | 20/40
211 h-m-p 0.1810 4.9320 0.0196 CC 1066.805821 1 0.1557 12746 | 20/40
212 h-m-p 0.0902 3.7651 0.0338 YC 1066.805430 1 0.0557 12810 | 20/40
213 h-m-p 0.0407 3.1594 0.0462 YC 1066.805298 1 0.0257 12874 | 20/40
214 h-m-p 0.0211 2.7627 0.0562 YC 1066.805239 1 0.0145 12938 | 20/40
215 h-m-p 0.0126 2.4651 0.0645 Y 1066.805206 0 0.0092 13001 | 20/40
216 h-m-p 0.0083 2.2256 0.0713 Y 1066.805185 0 0.0065 13064 | 20/40
217 h-m-p 0.0060 2.0258 0.0771 C 1066.805170 0 0.0048 13127 | 20/40
218 h-m-p 0.0045 1.8563 0.0822 C 1066.805159 0 0.0038 13190 | 20/40
219 h-m-p 0.0036 1.7107 0.0869 C 1066.805151 0 0.0031 13253 | 20/40
220 h-m-p 0.0032 1.5849 0.0912 C 1066.805143 0 0.0026 13316 | 20/40
221 h-m-p 0.0030 1.4755 0.0954 Y 1066.805137 0 0.0023 13379 | 20/40
222 h-m-p 0.0028 1.3798 0.0995 Y 1066.805131 0 0.0020 13442 | 20/40
223 h-m-p 0.0026 1.2956 0.1036 Y 1066.805126 0 0.0018 13505 | 20/40
224 h-m-p 0.0024 1.2211 0.1079 Y 1066.805121 0 0.0016 13568 | 20/40
225 h-m-p 0.0023 1.1548 0.1123 Y 1066.805116 0 0.0015 13631 | 20/40
226 h-m-p 0.0022 1.0955 0.1168 Y 1066.805111 0 0.0014 13694 | 20/40
227 h-m-p 0.0021 1.0421 0.1216 Y 1066.805107 0 0.0013 13757 | 20/40
228 h-m-p 0.0020 0.9939 0.1266 Y 1066.805103 0 0.0012 13820 | 20/40
229 h-m-p 0.0019 0.9502 0.1319 Y 1066.805099 0 0.0011 13883 | 20/40
230 h-m-p 0.0018 0.9103 0.1373 Y 1066.805095 0 0.0011 13946 | 20/40
231 h-m-p 0.0017 0.8739 0.1430 Y 1066.805091 0 0.0010 14009 | 20/40
232 h-m-p 0.0017 0.8404 0.1490 Y 1066.805087 0 0.0009 14072 | 20/40
233 h-m-p 0.0016 0.8096 0.1551 Y 1066.805084 0 0.0009 14135 | 20/40
234 h-m-p 0.0016 0.7811 0.1615 Y 1066.805080 0 0.0009 14198 | 20/40
235 h-m-p 0.0015 0.7548 0.1681 Y 1066.805077 0 0.0008 14261 | 20/40
236 h-m-p 0.0015 0.7303 0.1750 Y 1066.805073 0 0.0008 14324 | 20/40
237 h-m-p 0.0014 0.7075 0.1820 Y 1066.805070 0 0.0008 14387 | 20/40
238 h-m-p 0.0014 0.6862 0.1893 Y 1066.805066 0 0.0007 14450 | 20/40
239 h-m-p 0.0013 0.6663 0.1968 Y 1066.805063 0 0.0007 14513 | 20/40
240 h-m-p 0.0013 0.6477 0.2044 Y 1066.805059 0 0.0007 14576 | 20/40
241 h-m-p 0.0013 0.6302 0.2122 Y 1066.805056 0 0.0007 14639 | 20/40
242 h-m-p 0.0012 0.6138 0.2202 Y 1066.805053 0 0.0006 14702 | 20/40
243 h-m-p 0.0012 0.5983 0.2284 Y 1066.805050 0 0.0006 14765 | 20/40
244 h-m-p 0.0012 0.5837 0.2368 Y 1066.805046 0 0.0006 14828 | 20/40
245 h-m-p 0.0011 0.5700 0.2453 Y 1066.805043 0 0.0006 14891 | 20/40
246 h-m-p 0.0011 0.5569 0.2540 Y 1066.805040 0 0.0006 14954 | 20/40
247 h-m-p 0.0011 0.5446 0.2628 Y 1066.805037 0 0.0005 15017 | 20/40
248 h-m-p 0.0011 0.5329 0.2718 Y 1066.805034 0 0.0005 15080 | 20/40
249 h-m-p 0.0010 0.5217 0.2810 Y 1066.805031 0 0.0005 15143 | 20/40
250 h-m-p 0.0010 0.5112 0.2902 Y 1066.805028 0 0.0005 15206 | 20/40
251 h-m-p 0.0010 0.5011 0.2997 Y 1066.805025 0 0.0005 15269 | 20/40
252 h-m-p 0.0010 0.4916 0.3092 Y 1066.805022 0 0.0005 15332 | 20/40
253 h-m-p 0.0010 0.4824 0.3189 Y 1066.805019 0 0.0005 15395 | 20/40
254 h-m-p 0.0009 0.4737 0.3287 Y 1066.805016 0 0.0005 15458 | 20/40
255 h-m-p 0.0009 0.4654 0.3387 Y 1066.805013 0 0.0004 15521 | 20/40
256 h-m-p 0.0009 0.4575 0.3488 Y 1066.805010 0 0.0004 15584 | 20/40
257 h-m-p 0.0009 0.4498 0.3590 Y 1066.805007 0 0.0004 15647 | 20/40
258 h-m-p 0.0009 0.4426 0.3693 Y 1066.805004 0 0.0004 15710 | 20/40
259 h-m-p 0.0009 0.4356 0.3798 Y 1066.805001 0 0.0004 15773 | 20/40
260 h-m-p 0.0009 0.4289 0.3903 Y 1066.804998 0 0.0004 15836 | 20/40
261 h-m-p 0.0008 0.4225 0.4010 Y 1066.804995 0 0.0004 15899 | 20/40
262 h-m-p 0.0008 0.4163 0.4119 Y 1066.804992 0 0.0004 15962 | 20/40
263 h-m-p 0.0008 0.4104 0.4228 Y 1066.804990 0 0.0004 16025 | 20/40
264 h-m-p 0.0008 0.4047 0.4338 Y 1066.804987 0 0.0004 16088 | 20/40
265 h-m-p 0.0008 0.3992 0.4449 Y 1066.804984 0 0.0004 16151 | 20/40
266 h-m-p 0.0008 0.3940 0.4562 Y 1066.804981 0 0.0003 16214 | 20/40
267 h-m-p 0.0008 0.3889 0.4676 Y 1066.804979 0 0.0003 16277 | 20/40
268 h-m-p 0.0008 0.3840 0.4790 Y 1066.804976 0 0.0003 16340 | 20/40
269 h-m-p 0.0008 0.3793 0.4906 Y 1066.804973 0 0.0003 16403 | 20/40
270 h-m-p 0.0007 0.3747 0.5023 Y 1066.804970 0 0.0003 16466 | 20/40
271 h-m-p 0.0007 0.3704 0.5141 Y 1066.804968 0 0.0003 16529 | 20/40
272 h-m-p 0.0007 0.3661 0.5260 Y 1066.804965 0 0.0003 16592 | 20/40
273 h-m-p 0.0007 0.3620 0.5380 Y 1066.804963 0 0.0003 16655 | 20/40
274 h-m-p 0.0007 0.3581 0.5501 Y 1066.804960 0 0.0003 16718 | 20/40
275 h-m-p 0.0007 0.3543 0.5623 Y 1066.804957 0 0.0003 16781 | 20/40
276 h-m-p 0.0007 0.3506 0.5746 Y 1066.804955 0 0.0003 16844 | 20/40
277 h-m-p 0.0007 0.3470 0.5870 Y 1066.804952 0 0.0003 16907 | 20/40
278 h-m-p 0.0007 0.3435 0.5995 Y 1066.804950 0 0.0003 16970 | 20/40
279 h-m-p 0.0007 0.3402 0.6122 Y 1066.804947 0 0.0003 17033 | 20/40
280 h-m-p 0.0007 0.3370 0.6249 C 1066.804945 0 0.0003 17096 | 20/40
281 h-m-p 0.0007 0.3338 0.6377 C 1066.804942 0 0.0003 17159 | 20/40
282 h-m-p 0.0007 0.3308 0.6505 C 1066.804940 0 0.0003 17222 | 20/40
283 h-m-p 0.0007 0.3278 0.6636 C 1066.804937 0 0.0003 17285 | 20/40
284 h-m-p 0.0006 0.3250 0.6767 C 1066.804935 0 0.0003 17348 | 20/40
285 h-m-p 0.0006 0.3222 0.6899 C 1066.804932 0 0.0002 17411 | 20/40
286 h-m-p 0.0006 0.3195 0.7031 C 1066.804930 0 0.0002 17474 | 20/40
287 h-m-p 0.0006 0.3168 0.7166 C 1066.804928 0 0.0002 17537 | 20/40
288 h-m-p 0.0006 0.3109 0.7300 C 1066.804925 0 0.0002 17600 | 20/40
289 h-m-p 0.0006 0.3051 0.7435 C 1066.804923 0 0.0002 17663 | 20/40
290 h-m-p 0.0006 0.2994 0.7572 C 1066.804921 0 0.0002 17726 | 20/40
291 h-m-p 0.0006 0.2940 0.7710 C 1066.804918 0 0.0002 17789 | 20/40
292 h-m-p 0.0006 0.2886 0.7849 C 1066.804916 0 0.0002 17852 | 20/40
293 h-m-p 0.0006 0.2835 0.7988 C 1066.804914 0 0.0002 17915 | 20/40
294 h-m-p 0.0006 0.2784 0.8128 C 1066.804912 0 0.0002 17978 | 20/40
295 h-m-p 0.0005 0.2736 0.8269 C 1066.804909 0 0.0002 18041 | 20/40
296 h-m-p 0.0005 0.2688 0.8412 C 1066.804907 0 0.0002 18104 | 20/40
297 h-m-p 0.0005 0.2642 0.8555 C 1066.804905 0 0.0002 18167 | 20/40
298 h-m-p 0.0005 0.2597 0.8699 C 1066.804903 0 0.0002 18230 | 20/40
299 h-m-p 0.0005 0.2553 0.8844 C 1066.804901 0 0.0002 18293 | 20/40
300 h-m-p 0.0005 0.2510 0.8989 C 1066.804898 0 0.0002 18356 | 20/40
301 h-m-p 0.0005 0.2468 0.9136 C 1066.804896 0 0.0002 18419 | 20/40
302 h-m-p 0.0005 0.2428 0.9284 C 1066.804894 0 0.0002 18482 | 20/40
303 h-m-p 0.0005 0.2388 0.9432 C 1066.804892 0 0.0002 18545 | 20/40
304 h-m-p 0.0005 0.2349 0.9582 C 1066.804890 0 0.0002 18608 | 20/40
305 h-m-p 0.0005 0.2312 0.9732 Y 1066.804888 0 0.0002 18671 | 20/40
306 h-m-p 0.0005 0.2275 0.9883 Y 1066.804886 0 0.0002 18734 | 20/40
307 h-m-p 0.0004 0.2239 1.0035 Y 1066.804884 0 0.0002 18797 | 20/40
308 h-m-p 0.0160 8.0000 0.0196 +++CYC 1066.784208 2 1.2133 18846 | 20/40
309 h-m-p 1.6000 8.0000 0.0075 C 1066.783251 0 0.4240 18909 | 20/40
310 h-m-p 0.5188 8.0000 0.0061 CC 1066.782299 1 0.2042 18974 | 20/40
311 h-m-p 0.1360 8.0000 0.0092 YC 1066.781933 1 0.0703 19038 | 20/40
312 h-m-p 0.0476 5.3203 0.0135 YC 1066.781721 1 0.0369 19102 | 20/40
313 h-m-p 0.0277 3.7690 0.0180 C 1066.781564 0 0.0245 19165 | 20/40
314 h-m-p 0.0197 2.9208 0.0224 C 1066.781438 0 0.0179 19228 | 20/40
315 h-m-p 0.0151 2.3947 0.0266 C 1066.781329 0 0.0141 19291 | 20/40
316 h-m-p 0.0122 2.0413 0.0308 C 1066.781232 0 0.0116 19354 | 20/40
317 h-m-p 0.0102 1.7900 0.0349 C 1066.781144 0 0.0098 19417 | 20/40
318 h-m-p 0.0087 1.6034 0.0391 C 1066.781062 0 0.0084 19480 | 20/40
319 h-m-p 0.0076 1.4603 0.0434 C 1066.780987 0 0.0074 19543 | 20/40
320 h-m-p 0.0067 1.3475 0.0479 C 1066.780917 0 0.0065 19606 | 20/40
321 h-m-p 0.0059 1.2567 0.0526 C 1066.780851 0 0.0059 19669 | 20/40
322 h-m-p 0.0053 1.1823 0.0578 C 1066.780789 0 0.0053 19732 | 20/40
323 h-m-p 0.0048 1.1204 0.0632 C 1066.780731 0 0.0048 19795 | 20/40
324 h-m-p 0.0044 1.0682 0.0692 C 1066.780677 0 0.0044 19858 | 20/40
325 h-m-p 0.0040 1.0238 0.0755 C 1066.780625 0 0.0040 19921 | 20/40
326 h-m-p 0.0037 0.9856 0.0824 C 1066.780576 0 0.0037 19984 | 20/40
327 h-m-p 0.0034 0.9526 0.0897 C 1066.780531 0 0.0035 20047 | 20/40
328 h-m-p 0.0032 0.9238 0.0975 C 1066.780487 0 0.0032 20110 | 20/40
329 h-m-p 0.0030 0.8985 0.1057 C 1066.780446 0 0.0030 20173 | 20/40
330 h-m-p 0.0028 0.8560 0.1144 C 1066.780407 0 0.0028 20236 | 20/40
331 h-m-p 0.0026 0.8075 0.1234 C 1066.780371 0 0.0026 20299 | 20/40
332 h-m-p 0.0024 0.7647 0.1328 C 1066.780336 0 0.0025 20362 | 20/40
333 h-m-p 0.0023 0.7266 0.1425 C 1066.780303 0 0.0023 20425 | 20/40
334 h-m-p 0.0022 0.6926 0.1525 C 1066.780272 0 0.0022 20488 | 20/40
335 h-m-p 0.0021 0.6622 0.1628 C 1066.780242 0 0.0021 20551 | 20/40
336 h-m-p 0.0020 0.6349 0.1732 C 1066.780215 0 0.0020 20614 | 20/40
337 h-m-p 0.0019 0.6103 0.1839 C 1066.780188 0 0.0019 20677 | 20/40
338 h-m-p 0.0018 0.5880 0.1946 C 1066.780163 0 0.0018 20740 | 20/40
339 h-m-p 0.0017 0.5678 0.2055 C 1066.780139 0 0.0017 20803 | 20/40
340 h-m-p 0.0016 0.5494 0.2164 C 1066.780117 0 0.0016 20866 | 20/40
341 h-m-p 0.0015 0.5326 0.2274 C 1066.780096 0 0.0015 20929 | 20/40
342 h-m-p 0.0015 0.5172 0.2384 C 1066.780076 0 0.0015 20992 | 20/40
343 h-m-p 0.0014 0.5031 0.2494 C 1066.780056 0 0.0014 21055 | 20/40
344 h-m-p 0.0013 0.4901 0.2603 C 1066.780038 0 0.0013 21118 | 20/40
345 h-m-p 0.0013 0.4781 0.2712 C 1066.780021 0 0.0013 21181 | 20/40
346 h-m-p 0.0012 0.4670 0.2821 C 1066.780005 0 0.0012 21244 | 20/40
347 h-m-p 0.0012 0.4568 0.2928 C 1066.779989 0 0.0012 21307 | 20/40
348 h-m-p 0.0011 0.4473 0.3034 C 1066.779975 0 0.0011 21370 | 20/40
349 h-m-p 0.0011 0.4385 0.3139 C 1066.779961 0 0.0011 21433 | 20/40
350 h-m-p 0.0010 0.4302 0.3243 C 1066.779948 0 0.0010 21496 | 20/40
351 h-m-p 0.0010 0.4225 0.3346 C 1066.779935 0 0.0010 21559 | 20/40
352 h-m-p 0.0009 0.4154 0.3447 C 1066.779923 0 0.0009 21622 | 20/40
353 h-m-p 0.0009 0.4086 0.3546 C 1066.779912 0 0.0009 21685 | 20/40
354 h-m-p 0.0009 0.4023 0.3644 C 1066.779901 0 0.0009 21748 | 20/40
355 h-m-p 0.0008 0.3964 0.3740 C 1066.779891 0 0.0008 21811 | 20/40
356 h-m-p 0.0008 0.3908 0.3834 C 1066.779881 0 0.0008 21874 | 20/40
357 h-m-p 0.0008 0.3856 0.3926 C 1066.779872 0 0.0008 21937 | 20/40
358 h-m-p 0.0008 0.3806 0.4017 C 1066.779863 0 0.0007 22000 | 20/40
359 h-m-p 0.0008 0.3759 0.4105 C 1066.779855 0 0.0007 22063 | 20/40
360 h-m-p 0.0007 0.3715 0.4192 C 1066.779847 0 0.0007 22126 | 20/40
361 h-m-p 0.0007 0.3673 0.4276 C 1066.779839 0 0.0007 22189 | 20/40
362 h-m-p 0.0007 0.3633 0.4359 C 1066.779832 0 0.0006 22252 | 20/40
363 h-m-p 0.0007 0.3596 0.4439 C 1066.779825 0 0.0006 22315 | 20/40
364 h-m-p 0.0007 0.3560 0.4518 C 1066.779819 0 0.0006 22378 | 20/40
365 h-m-p 0.0007 0.3525 0.4594 C 1066.779812 0 0.0006 22441 | 20/40
366 h-m-p 0.0007 0.3493 0.4669 C 1066.779806 0 0.0006 22504 | 20/40
367 h-m-p 0.0007 0.3462 0.4741 Y 1066.779801 0 0.0005 22567 | 20/40
368 h-m-p 0.0007 0.3432 0.4812 Y 1066.779795 0 0.0005 22630 | 20/40
369 h-m-p 0.0007 0.3404 0.4880 Y 1066.779790 0 0.0005 22693 | 20/40
370 h-m-p 0.0007 0.3377 0.4947 Y 1066.779785 0 0.0005 22756 | 20/40
371 h-m-p 0.0007 0.3351 0.5011 Y 1066.779781 0 0.0005 22819 | 20/40
372 h-m-p 0.0007 0.3326 0.5073 Y 1066.779776 0 0.0005 22882 | 20/40
373 h-m-p 0.0007 0.3302 0.5134 Y 1066.779772 0 0.0004 22945 | 20/40
374 h-m-p 0.0007 0.3279 0.5192 Y 1066.779768 0 0.0004 23008 | 20/40
375 h-m-p 0.0007 0.3257 0.5249 Y 1066.779764 0 0.0004 23071 | 20/40
376 h-m-p 0.0006 0.3235 0.5304 Y 1066.779760 0 0.0004 23134 | 20/40
377 h-m-p 0.0006 0.3215 0.5356 Y 1066.779756 0 0.0004 23197 | 20/40
378 h-m-p 0.0006 0.3195 0.5407 Y 1066.779753 0 0.0004 23260 | 20/40
379 h-m-p 0.0006 0.3176 0.5456 Y 1066.779750 0 0.0004 23323 | 20/40
380 h-m-p 0.0006 0.3158 0.5503 Y 1066.779747 0 0.0004 23386 | 20/40
381 h-m-p 0.0006 0.3140 0.5548 Y 1066.779744 0 0.0003 23449 | 20/40
382 h-m-p 0.0006 0.3123 0.5592 Y 1066.779741 0 0.0003 23512 | 20/40
383 h-m-p 0.0006 0.3106 0.5633 Y 1066.779738 0 0.0003 23575 | 20/40
384 h-m-p 0.0006 0.3090 0.5673 Y 1066.779735 0 0.0003 23638 | 20/40
385 h-m-p 0.0006 0.3075 0.5711 Y 1066.779733 0 0.0003 23701 | 20/40
386 h-m-p 0.0006 0.3060 0.5748 Y 1066.779730 0 0.0003 23764 | 20/40
387 h-m-p 0.0006 0.3045 0.5783 Y 1066.779728 0 0.0003 23827 | 20/40
388 h-m-p 0.0006 0.3031 0.5816 Y 1066.779726 0 0.0003 23890 | 20/40
389 h-m-p 0.0006 0.3017 0.5847 Y 1066.779723 0 0.0003 23953 | 20/40
390 h-m-p 0.0006 0.3004 0.5878 Y 1066.779721 0 0.0003 24016 | 20/40
391 h-m-p 0.0006 0.2991 0.5906 Y 1066.779719 0 0.0003 24079 | 20/40
392 h-m-p 0.0006 0.2978 0.5932 Y 1066.779717 0 0.0003 24142 | 20/40
393 h-m-p 0.0006 0.2966 0.5957 Y 1066.779716 0 0.0002 24205 | 20/40
394 h-m-p 0.0006 0.2954 0.5981 Y 1066.779714 0 0.0002 24268 | 20/40
395 h-m-p 0.0006 0.2942 0.6004 Y 1066.779712 0 0.0002 24331 | 20/40
396 h-m-p 0.0006 0.2931 0.6025 C 1066.779710 0 0.0002 24394 | 20/40
397 h-m-p 0.0006 0.2919 0.6043 C 1066.779709 0 0.0002 24457 | 20/40
398 h-m-p 0.0006 0.2909 0.6061 C 1066.779707 0 0.0002 24520 | 20/40
399 h-m-p 0.0006 0.2898 0.6078 C 1066.779706 0 0.0002 24583 | 20/40
400 h-m-p 0.0006 0.2888 0.6093 C 1066.779704 0 0.0002 24646 | 20/40
401 h-m-p 0.0006 0.2878 0.6107 C 1066.779703 0 0.0002 24709 | 20/40
402 h-m-p 0.0006 0.2868 0.6120 C 1066.779702 0 0.0002 24772 | 20/40
403 h-m-p 0.0006 0.2858 0.6131 C 1066.779700 0 0.0002 24835 | 20/40
404 h-m-p 0.0006 0.2849 0.6141 C 1066.779699 0 0.0002 24898 | 20/40
405 h-m-p 0.0006 0.2839 0.6150 C 1066.779698 0 0.0002 24961 | 20/40
406 h-m-p 0.0006 0.2830 0.6157 C 1066.779697 0 0.0002 25024 | 20/40
407 h-m-p 0.0006 0.2821 0.6163 C 1066.779696 0 0.0002 25087 | 20/40
408 h-m-p 0.0006 0.2813 0.6169 C 1066.779695 0 0.0002 25150 | 20/40
409 h-m-p 0.0006 0.2804 0.6173 C 1066.779694 0 0.0002 25213 | 20/40
410 h-m-p 0.0006 0.2796 0.6177 C 1066.779693 0 0.0002 25276 | 20/40
411 h-m-p 0.0006 0.2788 0.6178 C 1066.779692 0 0.0002 25339 | 20/40
412 h-m-p 0.0006 0.2780 0.6179 C 1066.779691 0 0.0002 25402 | 20/40
413 h-m-p 0.0006 0.2772 0.6180 C 1066.779690 0 0.0002 25465 | 20/40
414 h-m-p 0.0006 0.2764 0.6179 C 1066.779689 0 0.0002 25528 | 20/40
415 h-m-p 0.0005 0.2749 0.6177 C 1066.779688 0 0.0001 25591 | 20/40
416 h-m-p 0.0005 0.2726 0.6173 C 1066.779687 0 0.0001 25654 | 20/40
417 h-m-p 0.0005 0.2703 0.6168 C 1066.779686 0 0.0001 25717 | 20/40
418 h-m-p 0.0005 0.2681 0.6164 C 1066.779686 0 0.0001 25780 | 20/40
419 h-m-p 0.0005 0.2659 0.6158 C 1066.779685 0 0.0001 25843 | 20/40
420 h-m-p 0.0005 0.2638 0.6151 C 1066.779684 0 0.0001 25906 | 20/40
421 h-m-p 0.0005 0.2617 0.6144 C 1066.779683 0 0.0001 25969 | 20/40
422 h-m-p 0.0005 0.2596 0.6137 C 1066.779683 0 0.0001 26032 | 20/40
423 h-m-p 0.0005 0.2576 0.6127 C 1066.779682 0 0.0001 26095 | 20/40
424 h-m-p 0.0005 0.2556 0.6117 C 1066.779681 0 0.0001 26158 | 20/40
425 h-m-p 0.0005 0.2537 0.6107 C 1066.779681 0 0.0001 26221 | 20/40
426 h-m-p 0.0005 0.2517 0.6097 C 1066.779680 0 0.0001 26284 | 20/40
427 h-m-p 0.0005 0.2498 0.6084 C 1066.779680 0 0.0001 26347 | 20/40
428 h-m-p 0.0005 0.2480 0.6071 C 1066.779679 0 0.0001 26410 | 20/40
429 h-m-p 0.0005 0.2461 0.6056 C 1066.779678 0 0.0001 26473 | 20/40
430 h-m-p 0.0005 0.2444 0.6043 C 1066.779678 0 0.0001 26536 | 20/40
431 h-m-p 0.0005 0.2426 0.6028 C 1066.779677 0 0.0001 26599 | 20/40
432 h-m-p 0.0005 0.2408 0.6012 C 1066.779677 0 0.0001 26662 | 20/40
433 h-m-p 0.0005 0.2391 0.5998 C 1066.779676 0 0.0001 26725 | 20/40
434 h-m-p 0.0005 0.2374 0.5981 C 1066.779676 0 0.0001 26788 | 20/40
435 h-m-p 0.0005 0.2358 0.5965 C 1066.779675 0 0.0001 26851 | 20/40
436 h-m-p 0.0005 0.2342 0.5946 C 1066.779675 0 0.0001 26914 | 20/40
437 h-m-p 0.0005 0.2325 0.5927 C 1066.779674 0 0.0001 26977 | 20/40
438 h-m-p 0.0005 0.2310 0.5911 C 1066.779674 0 0.0001 27040 | 20/40
439 h-m-p 0.0005 0.2294 0.5892 C 1066.779674 0 0.0001 27103 | 20/40
440 h-m-p 0.0005 0.2279 0.5872 C 1066.779673 0 0.0001 27166 | 20/40
441 h-m-p 0.0005 0.2264 0.5853 Y 1066.779673 0 0.0001 27229 | 20/40
442 h-m-p 0.0004 0.2249 0.5832 Y 1066.779672 0 0.0001 27292 | 20/40
443 h-m-p 0.0004 0.2234 0.5813 Y 1066.779672 0 0.0001 27355 | 20/40
444 h-m-p 0.0004 0.2220 0.5788 Y 1066.779672 0 0.0001 27418 | 20/40
445 h-m-p 0.0004 0.2206 0.5767 Y 1066.779671 0 0.0001 27481 | 20/40
446 h-m-p 0.0004 0.2192 0.5745 Y 1066.779671 0 0.0001 27544 | 20/40
447 h-m-p 0.0004 0.2178 0.5727 Y 1066.779670 0 0.0001 27607 | 20/40
448 h-m-p 0.0004 0.2164 0.5703 Y 1066.779670 0 0.0001 27670 | 20/40
449 h-m-p 0.0004 0.2151 0.5679 Y 1066.779670 0 0.0001 27733 | 20/40
450 h-m-p 0.0004 0.2138 0.5658 Y 1066.779669 0 0.0001 27796 | 20/40
451 h-m-p 0.0004 0.2125 0.5632 Y 1066.779669 0 0.0001 27859 | 20/40
452 h-m-p 0.0004 0.2112 0.5607 Y 1066.779669 0 0.0001 27922 | 20/40
453 h-m-p 0.0004 0.2099 0.5586 Y 1066.779668 0 0.0001 27985 | 20/40
454 h-m-p 0.0004 0.2087 0.5561 Y 1066.779668 0 0.0001 28048 | 20/40
455 h-m-p 0.0004 0.2074 0.5536 Y 1066.779668 0 0.0001 28111 | 20/40
456 h-m-p 0.0004 0.2062 0.5515 Y 1066.779668 0 0.0001 28174 | 20/40
457 h-m-p 0.0004 0.2050 0.5487 Y 1066.779667 0 0.0001 28237 | 20/40
458 h-m-p 0.0004 0.2038 0.5465 Y 1066.779667 0 0.0001 28300 | 20/40
459 h-m-p 0.0004 0.2027 0.5440 Y 1066.779667 0 0.0001 28363 | 20/40
460 h-m-p 0.0004 0.2015 0.5410 Y 1066.779666 0 0.0001 28426 | 20/40
461 h-m-p 0.0004 0.2004 0.5388 Y 1066.779666 0 0.0001 28489 | 20/40
462 h-m-p 0.0004 0.1993 0.5366 Y 1066.779666 0 0.0001 28552 | 20/40
463 h-m-p 0.0004 0.1982 0.5338 Y 1066.779666 0 0.0001 28615 | 20/40
464 h-m-p 0.0004 0.1971 0.5316 Y 1066.779665 0 0.0001 28678 | 20/40
465 h-m-p 0.0004 0.1960 0.5284 Y 1066.779665 0 0.0001 28741 | 20/40
466 h-m-p 0.0004 0.1950 0.5261 Y 1066.779665 0 0.0001 28804 | 20/40
467 h-m-p 0.0004 0.1939 0.5230 Y 1066.779665 0 0.0001 28867 | 20/40
468 h-m-p 0.0004 0.1929 0.5209 Y 1066.779664 0 0.0001 28930 | 20/40
469 h-m-p 0.0004 0.1919 0.5187 Y 1066.779664 0 0.0001 28993 | 20/40
470 h-m-p 0.0004 0.1909 0.5160 Y 1066.779664 0 0.0001 29056 | 20/40
471 h-m-p 0.0004 0.1899 0.5134 Y 1066.779664 0 0.0001 29119 | 20/40
472 h-m-p 0.0004 0.1889 0.5110 Y 1066.779663 0 0.0001 29182 | 20/40
473 h-m-p 0.0004 0.1879 0.5085 Y 1066.779663 0 0.0001 29245 | 20/40
474 h-m-p 0.0004 0.1870 0.5057 Y 1066.779663 0 0.0001 29308 | 20/40
475 h-m-p 0.0004 0.1860 0.5029 Y 1066.779663 0 0.0001 29371 | 20/40
476 h-m-p 0.0004 0.1851 0.5012 Y 1066.779663 0 0.0001 29434 | 20/40
477 h-m-p 0.0004 0.1842 0.4983 Y 1066.779662 0 0.0001 29497 | 20/40
478 h-m-p 0.0004 0.1833 0.4956 Y 1066.779662 0 0.0001 29560 | 20/40
479 h-m-p 0.0004 0.1824 0.4937 Y 1066.779662 0 0.0001 29623 | 20/40
480 h-m-p 0.0004 0.1815 0.4909 Y 1066.779662 0 0.0001 29686 | 20/40
481 h-m-p 0.0004 0.1806 0.4876 Y 1066.779662 0 0.0001 29749 | 20/40
482 h-m-p 0.0004 0.1797 0.4856 Y 1066.779661 0 0.0001 29812 | 20/40
483 h-m-p 0.0004 0.1789 0.4835 Y 1066.779661 0 0.0001 29875 | 20/40
484 h-m-p 0.0004 0.1780 0.4806 Y 1066.779661 0 0.0000 29938 | 20/40
485 h-m-p 0.0004 0.1772 0.4788 Y 1066.779661 0 0.0000 30001 | 20/40
486 h-m-p 0.0004 0.1764 0.4758 Y 1066.779661 0 0.0000 30064 | 20/40
487 h-m-p 0.0004 0.1756 0.4740 Y 1066.779661 0 0.0000 30127 | 20/40
488 h-m-p 0.0003 0.1748 0.4709 Y 1066.779660 0 0.0000 30190 | 20/40
489 h-m-p 0.0003 0.1740 0.4690 Y 1066.779660 0 0.0000 30253 | 20/40
490 h-m-p 0.0003 0.1732 0.4672 Y 1066.779660 0 0.0000 30316 | 20/40
491 h-m-p 0.0003 0.1724 0.4648 Y 1066.779660 0 0.0000 30379 | 20/40
492 h-m-p 0.0003 0.1716 0.4625 Y 1066.779660 0 0.0000 30442 | 20/40
493 h-m-p 0.0003 0.1709 0.4604 Y 1066.779659 0 0.0000 30505 | 20/40
494 h-m-p 0.0003 0.1701 0.4569 Y 1066.779659 0 0.0000 30568 | 20/40
495 h-m-p 0.0003 0.1694 0.4555 Y 1066.779659 0 0.0000 30631 | 20/40
496 h-m-p 0.0003 0.1686 0.4540 Y 1066.779659 0 0.0000 30694 | 20/40
497 h-m-p 0.0003 0.1679 0.4515 Y 1066.779659 0 0.0000 30757 | 20/40
498 h-m-p 0.0003 0.1672 0.4497 Y 1066.779659 0 0.0000 30820 | 20/40
499 h-m-p 0.0003 0.1665 0.4471 Y 1066.779659 0 0.0000 30883 | 20/40
500 h-m-p 0.0003 0.1658 0.4449 Y 1066.779658 0 0.0000 30946 | 20/40
501 h-m-p 0.0003 0.1651 0.4434 Y 1066.779658 0 0.0000 31009 | 20/40
502 h-m-p 0.0003 0.1644 0.4406 Y 1066.779658 0 0.0000 31072 | 20/40
503 h-m-p 0.0003 0.1637 0.4386 Y 1066.779658 0 0.0000 31135 | 20/40
504 h-m-p 0.0003 0.1630 0.4372 Y 1066.779658 0 0.0000 31198 | 20/40
505 h-m-p 0.0003 0.1624 0.4355 Y 1066.779658 0 0.0000 31261 | 20/40
506 h-m-p 0.0003 0.1617 0.4342 -Y 1066.779658 0 0.0000 31325 | 20/40
507 h-m-p 0.0003 0.1610 0.4318 -Y 1066.779657 0 0.0000 31389 | 20/40
508 h-m-p 0.0003 0.1604 0.4306 -Y 1066.779657 0 0.0000 31453 | 20/40
509 h-m-p 0.0003 0.1598 0.4280 -Y 1066.779657 0 0.0000 31517 | 20/40
510 h-m-p 0.0003 0.1591 0.4272 -Y 1066.779657 0 0.0000 31581 | 20/40
511 h-m-p 0.0003 0.1585 0.4255 -Y 1066.779657 0 0.0000 31645 | 20/40
512 h-m-p 0.0003 0.1579 0.4239 -Y 1066.779657 0 0.0000 31709 | 20/40
513 h-m-p 0.0003 0.1573 0.4223 -Y 1066.779657 0 0.0000 31773 | 20/40
514 h-m-p 0.0003 0.1567 0.4199 -Y 1066.779656 0 0.0000 31837 | 20/40
515 h-m-p 0.0003 0.1561 0.4192 -Y 1066.779656 0 0.0000 31901 | 20/40
516 h-m-p 0.0003 0.1555 0.4175 -Y 1066.779656 0 0.0000 31965 | 20/40
517 h-m-p 0.0003 0.1549 0.4178 -Y 1066.779656 0 0.0000 32029 | 20/40
518 h-m-p 0.0003 0.1543 0.4161 -Y 1066.779656 0 0.0000 32093 | 20/40
519 h-m-p 0.0003 0.1537 0.4152 -Y 1066.779656 0 0.0000 32157 | 20/40
520 h-m-p 0.0003 0.1531 0.4131 -Y 1066.779656 0 0.0000 32221 | 20/40
521 h-m-p 0.0003 0.1526 0.4114 -Y 1066.779656 0 0.0000 32285 | 20/40
522 h-m-p 0.0003 0.1520 0.4108 -Y 1066.779655 0 0.0000 32349 | 20/40
523 h-m-p 0.0003 0.1515 0.4100 -Y 1066.779655 0 0.0000 32413 | 20/40
524 h-m-p 0.0003 0.1509 0.4089 -Y 1066.779655 0 0.0000 32477 | 20/40
525 h-m-p 0.0003 0.1504 0.4076 -Y 1066.779655 0 0.0000 32541 | 20/40
526 h-m-p 0.0003 0.1498 0.4073 -Y 1066.779655 0 0.0000 32605 | 20/40
527 h-m-p 0.0003 0.1493 0.4069 -Y 1066.779655 0 0.0000 32669 | 20/40
528 h-m-p 0.0003 0.1488 0.4046 -Y 1066.779655 0 0.0000 32733 | 20/40
529 h-m-p 0.0003 0.1482 0.4037 -Y 1066.779655 0 0.0000 32797 | 20/40
530 h-m-p 0.0003 0.1477 0.4026 -Y 1066.779655 0 0.0000 32861 | 20/40
531 h-m-p 0.0003 0.1472 0.4033 -Y 1066.779654 0 0.0000 32925 | 20/40
532 h-m-p 0.0003 0.1467 0.4028 -Y 1066.779654 0 0.0000 32989 | 20/40
533 h-m-p 0.0003 0.1462 0.4029 -Y 1066.779654 0 0.0000 33053 | 20/40
534 h-m-p 0.0003 0.1457 0.4003 -Y 1066.779654 0 0.0000 33117 | 20/40
535 h-m-p 0.0003 0.1452 0.4015 -Y 1066.779654 0 0.0000 33181 | 20/40
536 h-m-p 0.0003 0.1447 0.4002 -Y 1066.779654 0 0.0000 33245 | 20/40
537 h-m-p 0.0003 0.1442 0.3998 -Y 1066.779654 0 0.0000 33309 | 20/40
538 h-m-p 0.0003 0.1437 0.3997 -Y 1066.779654 0 0.0000 33373 | 20/40
539 h-m-p 0.0003 0.1432 0.3981 -Y 1066.779654 0 0.0000 33437 | 20/40
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542 h-m-p 0.0003 0.1418 0.3992 -Y 1066.779653 0 0.0000 33629 | 20/40
543 h-m-p 0.0003 0.1414 0.3991 -Y 1066.779653 0 0.0000 33693 | 20/40
544 h-m-p 0.0003 0.1409 0.3985 -Y 1066.779653 0 0.0000 33757 | 20/40
545 h-m-p 0.0003 0.1405 0.4004 -Y 1066.779653 0 0.0000 33821 | 20/40
546 h-m-p 0.0003 0.1400 0.3994 -Y 1066.779653 0 0.0000 33885 | 20/40
547 h-m-p 0.0003 0.1396 0.3998 -Y 1066.779653 0 0.0000 33949 | 20/40
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558 h-m-p 0.0003 0.1349 0.4058 -Y 1066.779652 0 0.0000 34653 | 20/40
559 h-m-p 0.0003 0.1345 0.4049 -Y 1066.779652 0 0.0000 34717 | 20/40
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561 h-m-p 0.0003 0.1337 0.4083 -Y 1066.779651 0 0.0000 34845 | 20/40
562 h-m-p 0.0003 0.1333 0.4088 -Y 1066.779651 0 0.0000 34909 | 20/40
563 h-m-p 0.0003 0.1329 0.4094 -Y 1066.779651 0 0.0000 34973 | 20/40
564 h-m-p 0.0003 0.1325 0.4111 -Y 1066.779651 0 0.0000 35037 | 20/40
565 h-m-p 0.0003 0.1321 0.4105 -Y 1066.779651 0 0.0000 35101 | 20/40
566 h-m-p 0.0003 0.1318 0.4136 -Y 1066.779651 0 0.0000 35165 | 20/40
567 h-m-p 0.0003 0.1314 0.4142 -Y 1066.779651 0 0.0000 35229 | 20/40
568 h-m-p 0.0003 0.1310 0.4157 -C 1066.779651 0 0.0000 35293 | 20/40
569 h-m-p 0.0003 0.1306 0.4165 -C 1066.779651 0 0.0000 35357 | 20/40
570 h-m-p 0.0003 0.1303 0.4203 -C 1066.779651 0 0.0000 35421 | 20/40
571 h-m-p 0.0003 0.1299 0.4192 -C 1066.779651 0 0.0000 35485 | 20/40
572 h-m-p 0.0003 0.1295 0.4204 -C 1066.779650 0 0.0000 35549 | 20/40
573 h-m-p 0.0003 0.1292 0.4206 -C 1066.779650 0 0.0000 35613 | 20/40
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575 h-m-p 0.0003 0.1285 0.4269 -C 1066.779650 0 0.0000 35741 | 20/40
576 h-m-p 0.0003 0.1281 0.4273 -C 1066.779650 0 0.0000 35805 | 20/40
577 h-m-p 0.0003 0.1278 0.4291 -C 1066.779650 0 0.0000 35869 | 20/40
578 h-m-p 0.0003 0.1274 0.4295 -C 1066.779650 0 0.0000 35933 | 20/40
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580 h-m-p 0.0003 0.1267 0.4336 -C 1066.779650 0 0.0000 36061 | 20/40
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588 h-m-p 0.0002 0.1241 0.4475 -C 1066.779649 0 0.0000 36573 | 20/40
589 h-m-p 0.0002 0.1238 0.4525 -C 1066.779649 0 0.0000 36637 | 20/40
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603 h-m-p 0.0002 0.1195 0.4849 -C 1066.779648 0 0.0000 37533 | 20/40
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627 h-m-p 0.0002 0.1131 0.5499 -C 1066.779646 0 0.0000 39069 | 20/40
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660 h-m-p 0.0002 0.1057 0.6620 -C 1066.779644 0 0.0000 41181 | 20/40
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667 h-m-p 0.0002 0.1043 0.6843 -C 1066.779644 0 0.0000 41629 | 20/40
668 h-m-p 0.0002 0.1041 0.6898 -C 1066.779644 0 0.0000 41693 | 20/40
669 h-m-p 0.0002 0.1039 0.6929 -C 1066.779644 0 0.0000 41757 | 20/40
670 h-m-p 0.0002 0.1037 0.6974 -C 1066.779644 0 0.0000 41821 | 20/40
671 h-m-p 0.0002 0.1035 0.6987 -C 1066.779644 0 0.0000 41885 | 20/40
672 h-m-p 0.0002 0.1033 0.7044 -C 1066.779643 0 0.0000 41949 | 20/40
673 h-m-p 0.0002 0.1031 0.7080 -C 1066.779643 0 0.0000 42013 | 20/40
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675 h-m-p 0.0002 0.1027 0.7149 -C 1066.779643 0 0.0000 42141 | 20/40
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677 h-m-p 0.0002 0.1023 0.7247 -C 1066.779643 0 0.0000 42269 | 20/40
678 h-m-p 0.0002 0.1022 0.7287 -C 1066.779643 0 0.0000 42333 | 20/40
679 h-m-p 0.0002 0.1020 0.7300 -C 1066.779643 0 0.0000 42397 | 20/40
680 h-m-p 0.0002 0.1018 0.7356 -C 1066.779643 0 0.0000 42461 | 20/40
681 h-m-p 0.0002 0.1016 0.7390 -C 1066.779643 0 0.0000 42525 | 20/40
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683 h-m-p 0.0002 0.1012 0.7466 -C 1066.779643 0 0.0000 42653 | 20/40
684 h-m-p 0.0002 0.1011 0.7497 -C 1066.779643 0 0.0000 42717 | 20/40
685 h-m-p 0.0002 0.1009 0.7544 -C 1066.779643 0 0.0000 42781 | 20/40
686 h-m-p 0.0002 0.1007 0.7565 -C 1066.779643 0 0.0000 42845 | 20/40
687 h-m-p 0.0002 0.1005 0.7616 -C 1066.779643 0 0.0000 42909 | 20/40
688 h-m-p 0.0002 0.1003 0.7648 -C 1066.779643 0 0.0000 42973 | 20/40
689 h-m-p 0.0002 0.1002 0.7695 -C 1066.779642 0 0.0000 43037 | 20/40
690 h-m-p 0.0002 0.1000 0.7735 -C 1066.779642 0 0.0000 43101 | 20/40
691 h-m-p 0.0002 0.0998 0.7775 -C 1066.779642 0 0.0000 43165 | 20/40
692 h-m-p 0.0002 0.0996 0.7804 -C 1066.779642 0 0.0000 43229 | 20/40
693 h-m-p 0.0002 0.0995 0.7875 -C 1066.779642 0 0.0000 43293 | 20/40
694 h-m-p 0.0002 0.0993 0.7877 -C 1066.779642 0 0.0000 43357 | 20/40
695 h-m-p 0.0002 0.0991 0.7951 -C 1066.779642 0 0.0000 43421 | 20/40
696 h-m-p 0.0002 0.0990 0.7973 -C 1066.779642 0 0.0000 43485 | 20/40
697 h-m-p 0.0002 0.0988 0.8023 -C 1066.779642 0 0.0000 43549 | 20/40
698 h-m-p 0.0002 0.0986 0.8049 -C 1066.779642 0 0.0000 43613 | 20/40
699 h-m-p 0.0002 0.0984 0.8084 -C 1066.779642 0 0.0000 43677 | 20/40
700 h-m-p 0.0002 0.0983 0.8138 -C 1066.779642 0 0.0000 43741 | 20/40
701 h-m-p 0.0002 0.0981 0.8180 -C 1066.779642 0 0.0000 43805 | 20/40
702 h-m-p 0.0002 0.0979 0.8214 -C 1066.779642 0 0.0000 43869 | 20/40
703 h-m-p 0.0002 0.0978 0.8274 -C 1066.779642 0 0.0000 43933 | 20/40
704 h-m-p 0.0002 0.0976 0.8301 -C 1066.779642 0 0.0000 43997 | 20/40
705 h-m-p 0.0002 0.0975 0.8318 -C 1066.779642 0 0.0000 44061 | 20/40
706 h-m-p 0.0002 0.0973 0.8376 -C 1066.779642 0 0.0000 44125 | 20/40
707 h-m-p 0.0002 0.0971 0.8421 -C 1066.779641 0 0.0000 44189 | 20/40
708 h-m-p 0.0002 0.0970 0.8466 -C 1066.779641 0 0.0000 44253 | 20/40
709 h-m-p 0.0002 0.0968 0.8494 -C 1066.779641 0 0.0000 44317 | 20/40
710 h-m-p 0.0002 0.0966 0.8520 -C 1066.779641 0 0.0000 44381 | 20/40
711 h-m-p 0.0002 0.0965 0.8581 -C 1066.779641 0 0.0000 44445 | 20/40
712 h-m-p 0.0002 0.0963 0.8614 -C 1066.779641 0 0.0000 44509 | 20/40
713 h-m-p 0.0002 0.0962 0.8665 -C 1066.779641 0 0.0000 44573 | 20/40
714 h-m-p 0.0002 0.0960 0.8715 -C 1066.779641 0 0.0000 44637 | 20/40
715 h-m-p 0.0002 0.0959 0.8767 -C 1066.779641 0 0.0000 44701 | 20/40
716 h-m-p 0.0002 0.0957 0.8787 -C 1066.779641 0 0.0000 44765 | 20/40
717 h-m-p 0.0002 0.0956 0.8824 -C 1066.779641 0 0.0000 44829 | 20/40
718 h-m-p 0.0002 0.0954 0.8871 -C 1066.779641 0 0.0000 44893 | 20/40
719 h-m-p 0.0002 0.0952 0.8922 -C 1066.779641 0 0.0000 44957 | 20/40
720 h-m-p 0.0002 0.0951 0.8973 -C 1066.779641 0 0.0000 45021 | 20/40
721 h-m-p 0.0002 0.0949 0.9004 -C 1066.779641 0 0.0000 45085 | 20/40
722 h-m-p 0.0002 0.0948 0.9047 -C 1066.779641 0 0.0000 45149 | 20/40
723 h-m-p 0.0002 0.0946 0.9092 -C 1066.779641 0 0.0000 45213 | 20/40
724 h-m-p 0.0002 0.0945 0.9140 -C 1066.779641 0 0.0000 45277 | 20/40
725 h-m-p 0.0002 0.0943 0.9170 -C 1066.779641 0 0.0000 45341 | 20/40
726 h-m-p 0.0002 0.0942 0.9201 -C 1066.779640 0 0.0000 45405 | 20/40
727 h-m-p 0.0002 0.0940 0.9272 -C 1066.779640 0 0.0000 45469 | 20/40
728 h-m-p 0.0002 0.0939 0.9303 -C 1066.779640 0 0.0000 45533 | 20/40
729 h-m-p 0.0002 0.0938 0.9340 -C 1066.779640 0 0.0000 45597 | 20/40
730 h-m-p 0.0002 0.0936 0.9390 -C 1066.779640 0 0.0000 45661 | 20/40
731 h-m-p 0.0002 0.0935 0.9432 -C 1066.779640 0 0.0000 45725 | 20/40
732 h-m-p 0.0002 0.0933 0.9483 -C 1066.779640 0 0.0000 45789 | 20/40
733 h-m-p 0.0002 0.0932 0.9528 -C 1066.779640 0 0.0000 45853 | 20/40
734 h-m-p 0.0002 0.0930 0.9569 -C 1066.779640 0 0.0000 45917 | 20/40
735 h-m-p 0.0002 0.0929 0.9613 -C 1066.779640 0 0.0000 45981 | 20/40
736 h-m-p 0.0002 0.0927 0.9647 -C 1066.779640 0 0.0000 46045 | 20/40
737 h-m-p 0.0002 0.0926 0.9697 -C 1066.779640 0 0.0000 46109 | 20/40
738 h-m-p 0.0002 0.0925 0.9734 -C 1066.779640 0 0.0000 46173 | 20/40
739 h-m-p 0.0002 0.0923 0.9792 -C 1066.779640 0 0.0000 46237 | 20/40
740 h-m-p 0.0002 0.0922 0.9833 -C 1066.779640 0 0.0000 46301 | 20/40
741 h-m-p 0.0002 0.0920 0.9877 -C 1066.779640 0 0.0000 46365 | 20/40
742 h-m-p 0.0002 0.0919 0.9908 -C 1066.779640 0 0.0000 46429 | 20/40
743 h-m-p 0.0002 0.0918 0.9975 -C 1066.779640 0 0.0000 46493 | 20/40
744 h-m-p 0.0002 0.0916 1.0019 -C 1066.779640 0 0.0000 46557 | 20/40
745 h-m-p 0.0160 8.0000 0.0086 ++++CC 1066.759609 1 3.7203 46606 | 20/40
746 h-m-p 1.6000 8.0000 0.0048 YCCC 1066.735913 3 3.3160 46674 | 20/40
747 h-m-p 1.6000 8.0000 0.0095 YCC 1066.717216 2 1.0885 46740 | 20/40
748 h-m-p 0.9069 8.0000 0.0115 CC 1066.709367 1 0.7463 46805 | 20/40
749 h-m-p 1.6000 8.0000 0.0046 CC 1066.707324 1 0.3341 46870 | 20/40
750 h-m-p 0.4600 8.0000 0.0034 CC 1066.706344 1 0.1764 46935 | 20/40
751 h-m-p 0.0646 7.3181 0.0092 CC 1066.705928 1 0.0949 47000 | 20/40
752 h-m-p 0.0539 5.3703 0.0162 C 1066.705671 0 0.0628 47063 | 20/40
753 h-m-p 0.0419 4.1182 0.0243 C 1066.705507 0 0.0435 47126 | 20/40
754 h-m-p 0.0320 3.3061 0.0330 C 1066.705384 0 0.0331 47189 | 20/40
755 h-m-p 0.0258 2.7579 0.0423 C 1066.705291 0 0.0260 47252 | 20/40
756 h-m-p 0.0212 2.3723 0.0517 C 1066.705217 0 0.0212 47315 | 20/40
757 h-m-p 0.0179 2.0919 0.0612 C 1066.705158 0 0.0173 47378 | 20/40
758 h-m-p 0.0150 1.8810 0.0706 C 1066.705110 0 0.0146 47441 | 20/40
759 h-m-p 0.0129 1.7179 0.0798 C 1066.705072 0 0.0123 47504 | 20/40
760 h-m-p 0.0111 1.5883 0.0888 C 1066.705041 0 0.0105 47567 | 20/40
761 h-m-p 0.0096 1.4827 0.0976 C 1066.705016 0 0.0090 47630 | 20/40
762 h-m-p 0.0083 1.3947 0.1063 C 1066.704995 0 0.0077 47693 | 20/40
763 h-m-p 0.0072 1.3199 0.1149 C 1066.704979 0 0.0067 47756 | 20/40
764 h-m-p 0.0062 1.2552 0.1234 C 1066.704966 0 0.0058 47819 | 20/40
765 h-m-p 0.0054 1.1983 0.1319 C 1066.704955 0 0.0050 47882 | 20/40
766 h-m-p 0.0047 1.1477 0.1404 C 1066.704946 0 0.0044 47945 | 20/40
767 h-m-p 0.0042 1.1022 0.1488 C 1066.704938 0 0.0039 48008 | 20/40
768 h-m-p 0.0037 1.0487 0.1574 C 1066.704932 0 0.0034 48071 | 20/40
769 h-m-p 0.0032 0.9896 0.1659 C 1066.704927 0 0.0030 48134 | 20/40
770 h-m-p 0.0029 0.9364 0.1746 C 1066.704923 0 0.0027 48197 | 20/40
771 h-m-p 0.0026 0.8881 0.1833 C 1066.704919 0 0.0024 48260 | 20/40
772 h-m-p 0.0023 0.8442 0.1921 C 1066.704916 0 0.0022 48323 | 20/40
773 h-m-p 0.0021 0.8040 0.2010 C 1066.704913 0 0.0020 48386 | 20/40
774 h-m-p 0.0019 0.7671 0.2099 C 1066.704911 0 0.0018 48449 | 20/40
775 h-m-p 0.0017 0.7331 0.2190 C 1066.704908 0 0.0016 48512 | 20/40
776 h-m-p 0.0016 0.7017 0.2281 C 1066.704907 0 0.0015 48575 | 20/40
777 h-m-p 0.0014 0.6726 0.2373 C 1066.704905 0 0.0014 48638 | 20/40
778 h-m-p 0.0013 0.6456 0.2466 C 1066.704903 0 0.0013 48701 | 20/40
779 h-m-p 0.0012 0.6205 0.2560 C 1066.704902 0 0.0012 48764 | 20/40
780 h-m-p 0.0012 0.5971 0.2655 C 1066.704901 0 0.0011 48827 | 20/40
781 h-m-p 0.0012 0.5752 0.2750 C 1066.704900 0 0.0010 48890 | 20/40
782 h-m-p 0.0011 0.5547 0.2846 C 1066.704899 0 0.0009 48953 | 20/40
783 h-m-p 0.0011 0.5354 0.2943 C 1066.704898 0 0.0009 49016 | 20/40
784 h-m-p 0.0010 0.5174 0.3040 C 1066.704897 0 0.0008 49079 | 20/40
785 h-m-p 0.0010 0.5004 0.3138 Y 1066.704896 0 0.0008 49142 | 20/40
786 h-m-p 0.0010 0.4844 0.3236 Y 1066.704895 0 0.0008 49205 | 20/40
787 h-m-p 0.0009 0.4693 0.3335 Y 1066.704895 0 0.0007 49268 | 20/40
788 h-m-p 0.0009 0.4550 0.3435 Y 1066.704894 0 0.0007 49331 | 20/40
789 h-m-p 0.0009 0.4415 0.3535 Y 1066.704893 0 0.0007 49394 | 20/40
790 h-m-p 0.0009 0.4287 0.3635 Y 1066.704893 0 0.0006 49457 | 20/40
791 h-m-p 0.0008 0.4166 0.3736 Y 1066.704892 0 0.0006 49520 | 20/40
792 h-m-p 0.0008 0.4051 0.3837 Y 1066.704891 0 0.0006 49583 | 20/40
793 h-m-p 0.0008 0.3941 0.3939 Y 1066.704891 0 0.0006 49646 | 20/40
794 h-m-p 0.0008 0.3837 0.4041 Y 1066.704890 0 0.0005 49709 | 20/40
795 h-m-p 0.0007 0.3738 0.4144 Y 1066.704890 0 0.0005 49772 | 20/40
796 h-m-p 0.0007 0.3643 0.4246 Y 1066.704889 0 0.0005 49835 | 20/40
797 h-m-p 0.0007 0.3553 0.4349 Y 1066.704889 0 0.0005 49898 | 20/40
798 h-m-p 0.0007 0.3466 0.4453 Y 1066.704888 0 0.0005 49961 | 20/40
799 h-m-p 0.0007 0.3384 0.4556 Y 1066.704888 0 0.0005 50024 | 20/40
800 h-m-p 0.0007 0.3305 0.4660 Y 1066.704887 0 0.0005 50087 | 20/40
801 h-m-p 0.0006 0.3229 0.4764 Y 1066.704887 0 0.0004 50150 | 20/40
802 h-m-p 0.0006 0.3157 0.4868 Y 1066.704886 0 0.0004 50213 | 20/40
803 h-m-p 0.0006 0.3087 0.4973 Y 1066.704886 0 0.0004 50276 | 20/40
804 h-m-p 0.0006 0.3020 0.5077 Y 1066.704885 0 0.0004 50339 | 20/40
805 h-m-p 0.0006 0.2956 0.5182 Y 1066.704885 0 0.0004 50402 | 20/40
806 h-m-p 0.0006 0.2895 0.5287 Y 1066.704884 0 0.0004 50465 | 20/40
807 h-m-p 0.0006 0.2835 0.5392 Y 1066.704884 0 0.0004 50528 | 20/40
808 h-m-p 0.0006 0.2778 0.5498 Y 1066.704884 0 0.0004 50591 | 20/40
809 h-m-p 0.0005 0.2723 0.5603 Y 1066.704883 0 0.0004 50654 | 20/40
810 h-m-p 0.0005 0.2669 0.5709 Y 1066.704883 0 0.0004 50717 | 20/40
811 h-m-p 0.0005 0.2618 0.5815 Y 1066.704882 0 0.0004 50780 | 20/40
812 h-m-p 0.0005 0.2569 0.5921 Y 1066.704882 0 0.0004 50843 | 20/40
813 h-m-p 0.0005 0.2521 0.6027 Y 1066.704882 0 0.0003 50906 | 20/40
814 h-m-p 0.0005 0.2475 0.6133 Y 1066.704881 0 0.0003 50969 | 20/40
815 h-m-p 0.0005 0.2430 0.6240 Y 1066.704881 0 0.0003 51032 | 20/40
816 h-m-p 0.0005 0.2387 0.6347 Y 1066.704880 0 0.0003 51095 | 20/40
817 h-m-p 0.0005 0.2345 0.6454 Y 1066.704880 0 0.0003 51158 | 20/40
818 h-m-p 0.0005 0.2304 0.6560 Y 1066.704880 0 0.0003 51221 | 20/40
819 h-m-p 0.0005 0.2265 0.6667 Y 1066.704879 0 0.0003 51284 | 20/40
820 h-m-p 0.0004 0.2227 0.6775 Y 1066.704879 0 0.0003 51347 | 20/40
821 h-m-p 0.0004 0.2190 0.6882 Y 1066.704878 0 0.0003 51410 | 20/40
822 h-m-p 0.0004 0.2154 0.6990 Y 1066.704878 0 0.0003 51473 | 20/40
823 h-m-p 0.0004 0.2119 0.7098 Y 1066.704878 0 0.0003 51536 | 20/40
824 h-m-p 0.0004 0.2085 0.7206 Y 1066.704877 0 0.0003 51599 | 20/40
825 h-m-p 0.0004 0.2052 0.7313 Y 1066.704877 0 0.0003 51662 | 20/40
826 h-m-p 0.0004 0.2020 0.7422 Y 1066.704877 0 0.0003 51725 | 20/40
827 h-m-p 0.0004 0.1989 0.7530 Y 1066.704876 0 0.0003 51788 | 20/40
828 h-m-p 0.0004 0.1958 0.7639 Y 1066.704876 0 0.0003 51851 | 20/40
829 h-m-p 0.0004 0.1929 0.7747 Y 1066.704875 0 0.0003 51914 | 20/40
830 h-m-p 0.0004 0.1900 0.7857 Y 1066.704875 0 0.0003 51977 | 20/40
831 h-m-p 0.0004 0.1872 0.7966 Y 1066.704875 0 0.0003 52040 | 20/40
832 h-m-p 0.0004 0.1845 0.8075 Y 1066.704874 0 0.0003 52103 | 20/40
833 h-m-p 0.0004 0.1818 0.8185 Y 1066.704874 0 0.0003 52166 | 20/40
834 h-m-p 0.0004 0.1792 0.8294 Y 1066.704874 0 0.0002 52229 | 20/40
835 h-m-p 0.0004 0.1767 0.8404 Y 1066.704873 0 0.0002 52292 | 20/40
836 h-m-p 0.0003 0.1742 0.8514 Y 1066.704873 0 0.0002 52355 | 20/40
837 h-m-p 0.0003 0.1718 0.8625 Y 1066.704873 0 0.0002 52418 | 20/40
838 h-m-p 0.0003 0.1695 0.8735 Y 1066.704872 0 0.0002 52481 | 20/40
839 h-m-p 0.1674 8.0000 0.0012 +YC 1066.690994 1 1.3881 52546 | 20/40
840 h-m-p 0.2309 8.0000 0.0074 +YC 1066.684130 1 2.2313 52611 | 20/40
841 h-m-p 1.6000 8.0000 0.0015 YC 1066.679013 1 2.7074 52675 | 20/40
842 h-m-p 1.6000 8.0000 0.0008 CC 1066.676780 1 2.4685 52740 | 20/40
843 h-m-p 1.6000 8.0000 0.0011 YC 1066.675831 1 3.0816 52804 | 20/40
844 h-m-p 1.6000 8.0000 0.0005 ++ 1066.672690 m 8.0000 52867 | 20/40
845 h-m-p 1.6000 8.0000 0.0014 ++ 1066.668793 m 8.0000 52930 | 20/40
846 h-m-p 1.6000 8.0000 0.0045 YC 1066.665372 1 2.7327 52994 | 20/40
847 h-m-p 1.6000 8.0000 0.0029 YC 1066.661875 1 2.9546 53058 | 20/40
848 h-m-p 1.6000 8.0000 0.0018 C 1066.661444 0 1.7999 53121 | 20/40
849 h-m-p 1.6000 8.0000 0.0020 ++ 1066.660426 m 8.0000 53184 | 20/40
850 h-m-p 1.6000 8.0000 0.0056 +YC 1066.657712 1 7.0195 53249 | 20/40
851 h-m-p 1.1659 8.0000 0.0337 +YYC 1066.649825 2 3.8625 53315 | 20/40
852 h-m-p 1.6000 8.0000 0.0270
QuantileBeta(0.05, 0.00773, 0.15805) = 3.049048e-161 2000 rounds
CCC 1066.643348 2 2.3293 53382 | 20/40
853 h-m-p 1.6000 8.0000 0.0186 C 1066.640534 0 1.6452 53445 | 20/40
854 h-m-p 0.8910 4.4552 0.0196 CCC 1066.639625 2 1.2350 53512 | 20/40
855 h-m-p 1.4067 7.0337 0.0118 CCC 1066.637540 2 2.3469 53579 | 20/40
856 h-m-p 1.6000 8.0000 0.0033 YC 1066.637112 1 1.2460 53643 | 20/40
857 h-m-p 0.2310 8.0000 0.0177 ++YC 1066.636832 1 2.5702 53709 | 20/40
858 h-m-p 0.5581 8.0000 0.0814 YC 1066.636461 1 1.1734 53773 | 20/40
859 h-m-p 1.1464 8.0000 0.0833
QuantileBeta(0.05, 0.00773, 0.15969) = 2.335929e-161 2000 rounds
Y
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
C 1066.636279 1 0.7396 53837
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15982) = 3.106643e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15988) = 3.099234e-161 2000 rounds
QuantileBeta(0.05, 0.00773, 0.15975) = 3.114075e-161 2000 rounds
| 20/40
860 h-m-p 1.4611 8.0000 0.0422 YC 1066.636223 1 0.6767 53901 | 20/40
861 h-m-p 1.3403 8.0000 0.0213 YC 1066.636200 1 0.7949 53965 | 20/40
862 h-m-p 1.0376 8.0000 0.0163 C 1066.636166 0 1.2646 54028 | 20/40
863 h-m-p 1.3406 8.0000 0.0154 YC 1066.636048 1 2.5444 54092 | 20/40
864 h-m-p 1.6000 8.0000 0.0179 YC 1066.635598 1 2.8715 54156 | 20/40
865 h-m-p 0.8491 8.0000 0.0605 C 1066.635306 0 0.8587 54219 | 20/40
866 h-m-p 0.6431 8.0000 0.0809 C 1066.635217 0 0.5220 54282 | 20/40
867 h-m-p 0.8908 8.0000 0.0474 -C 1066.635217 0 0.0489 54346 | 20/40
868 h-m-p 0.0418 8.0000 0.0554 +C 1066.635214 0 0.1458 54410 | 20/40
869 h-m-p 0.1443 8.0000 0.0560 Y 1066.635213 0 0.1154 54473 | 20/40
870 h-m-p 0.1108 8.0000 0.0584 C 1066.635211 0 0.1281 54536 | 20/40
871 h-m-p 0.1260 8.0000 0.0594 C 1066.635209 0 0.1276 54599 | 20/40
872 h-m-p 0.1259 8.0000 0.0602 C 1066.635207 0 0.1319 54662 | 20/40
873 h-m-p 0.1312 8.0000 0.0605 C 1066.635204 0 0.1350 54725 | 20/40
874 h-m-p 0.1348 8.0000 0.0606 C 1066.635202 0 0.1386 54788 | 20/40
875 h-m-p 0.1388 8.0000 0.0605 C 1066.635199 0 0.1422 54851 | 20/40
876 h-m-p 0.1427 8.0000 0.0603 C 1066.635197 0 0.1456 54914 | 20/40
877 h-m-p 0.1463 8.0000 0.0600 C 1066.635194 0 0.1487 54977 | 20/40
878 h-m-p 0.1494 8.0000 0.0597 C 1066.635191 0 0.1516 55040 | 20/40
879 h-m-p 0.1523 8.0000 0.0594 C 1066.635187 0 0.1536 55103 | 20/40
880 h-m-p 0.1544 8.0000 0.0591 C 1066.635183 0 0.1551 55166 | 20/40
881 h-m-p 0.1559 8.0000 0.0588 C 1066.635179 0 0.1559 55229 | 20/40
882 h-m-p 0.1569 8.0000 0.0584 C 1066.635175 0 0.1559 55292 | 20/40
883 h-m-p 0.1576 8.0000 0.0578 C 1066.635170 0 0.1556 55355 | 20/40
884 h-m-p 0.1584 8.0000 0.0568 C 1066.635164 0 0.1546 55418 | 20/40
885 h-m-p 0.1593 8.0000 0.0551 C 1066.635157 0 0.1536 55481 | 20/40
886 h-m-p 0.1612 8.0000 0.0525 C 1066.635150 0 0.1527 55544 | 20/40
887 h-m-p 0.1648 8.0000 0.0487 C 1066.635142 0 0.1522 55607 | 20/40
888 h-m-p 0.1715 8.0000 0.0432 C 1066.635132 0 0.1521 55670 | 20/40
889 h-m-p 0.1838 8.0000 0.0357 C 1066.635122 0 0.1526 55733 | 20/40
890 h-m-p 0.2088 8.0000 0.0261 Y 1066.635109 0 0.1540 55796 | 20/40
891 h-m-p 0.2794 8.0000 0.0144 Y 1066.635095 0 0.1559 55859 | 20/40
892 h-m-p 1.6000 8.0000 0.0010 -C 1066.635079 0 0.1587 55923 | 20/40
893 h-m-p 0.0160 8.0000 0.0138 ++Y 1066.635062 0 0.1622 55988 | 20/40
894 h-m-p 0.0782 8.0000 0.0287 Y 1066.635043 0 0.1667 56051 | 20/40
895 h-m-p 0.1120 8.0000 0.0427 C 1066.635023 0 0.1724 56114 | 20/40
896 h-m-p 0.1341 8.0000 0.0548 C 1066.635002 0 0.1792 56177 | 20/40
897 h-m-p 0.1527 8.0000 0.0643 C 1066.634980 0 0.1876 56240 | 20/40
898 h-m-p 0.1709 8.0000 0.0706 C 1066.634958 0 0.1978 56303 | 20/40
899 h-m-p 0.1905 8.0000 0.0733 C 1066.634936 0 0.2101 56366 | 20/40
900 h-m-p 0.2129 8.0000 0.0724 C 1066.634915 0 0.2250 56429 | 20/40
901 h-m-p 0.2394 8.0000 0.0680 C 1066.634895 0 0.2437 56492 | 20/40
902 h-m-p 0.2717 8.0000 0.0610 C 1066.634875 0 0.2717 56555 | 20/40
903 h-m-p 0.3168 8.0000 0.0523 C 1066.634856 0 0.3168 56618 | 20/40
904 h-m-p 0.3846 8.0000 0.0431 C 1066.634837 0 0.3846 56681 | 20/40
905 h-m-p 0.4759 8.0000 0.0348 C 1066.634813 0 0.5049 56744 | 20/40
906 h-m-p 0.6221 8.0000 0.0283 C 1066.634774 0 0.7712 56807 | 20/40
907 h-m-p 0.9583 8.0000 0.0227 C 1066.634688 0 1.3707 56870 | 20/40
908 h-m-p 1.6000 8.0000 0.0177 CC 1066.634412 1 2.4949 56935 | 20/40
909 h-m-p 1.6000 8.0000 0.0017 YC 1066.633689 1 2.6563 56999 | 20/40
910 h-m-p 0.0779 8.0000 0.0589 ++CYC 1066.632578 2 1.8891 57067 | 20/40
911 h-m-p 0.3858 1.9290 0.1274 YYY 1066.632129 2 0.3858 57132 | 20/40
912 h-m-p 0.2659 1.3297 0.0873 YY 1066.632022 1 0.1788 57196 | 20/40
913 h-m-p 0.3550 2.3264 0.0440 Y 1066.631981 0 0.1556 57259 | 20/40
914 h-m-p 0.1034 4.0088 0.0662 Y 1066.631965 0 0.0774 57322 | 20/40
915 h-m-p 0.0765 2.6957 0.0670 C 1066.631956 0 0.0616 57385 | 20/40
916 h-m-p 0.0635 2.8653 0.0650 Y 1066.631955 0 0.0256 57448 | 20/40
917 h-m-p 0.0261 2.5388 0.0637 C 1066.631954 0 0.0221 57511 | 20/40
918 h-m-p 0.0229 2.5442 0.0617 Y 1066.631954 0 0.0128 57574 | 20/40
919 h-m-p 0.0131 2.4228 0.0604 C 1066.631954 0 0.0124 57637 | 20/40
920 h-m-p 0.0126 2.4140 0.0592 Y 1066.631953 0 0.0092 57700 | 20/40
921 h-m-p 0.0094 2.3569 0.0584 C 1066.631953 0 0.0094 57763 | 20/40
922 h-m-p 0.0095 2.3459 0.0578 C 1066.631953 0 0.0082 57826 | 20/40
923 h-m-p 0.0082 2.3125 0.0575 C 1066.631953 0 0.0085 57889 | 20/40
924 h-m-p 0.0085 2.3003 0.0571 C 1066.631953 0 0.0080 57952 | 20/40
925 h-m-p 0.0080 2.2798 0.0571 C 1066.631953 0 0.0081 58015 | 20/40
926 h-m-p 0.0081 2.2667 0.0570 C 1066.631952 0 0.0080 58078 | 20/40
927 h-m-p 0.0079 2.2526 0.0571 C 1066.631952 0 0.0079 58141 | 20/40
928 h-m-p 0.0080 2.2401 0.0571 C 1066.631952 0 0.0079 58204 | 20/40
929 h-m-p 0.0079 2.2285 0.0573 C 1066.631952 0 0.0079 58267 | 20/40
930 h-m-p 0.0079 2.2165 0.0574 C 1066.631952 0 0.0079 58330 | 20/40
931 h-m-p 0.0079 2.2070 0.0576 C 1066.631952 0 0.0079 58393 | 20/40
932 h-m-p 0.0079 2.1954 0.0578 C 1066.631952 0 0.0079 58456 | 20/40
933 h-m-p 0.0079 2.1872 0.0579 C 1066.631951 0 0.0079 58519 | 20/40
934 h-m-p 0.0079 2.1761 0.0581 C 1066.631951 0 0.0079 58582 | 20/40
935 h-m-p 0.0079 2.1695 0.0583 C 1066.631951 0 0.0079 58645 | 20/40
936 h-m-p 0.0078 2.1590 0.0585 C 1066.631951 0 0.0080 58708 | 20/40
937 h-m-p 0.0079 2.1526 0.0587 C 1066.631951 0 0.0079 58771 | 20/40
938 h-m-p 0.0079 2.1432 0.0589 C 1066.631951 0 0.0079 58834 | 20/40
939 h-m-p 0.0079 2.1371 0.0591 C 1066.631951 0 0.0079 58897 | 20/40
940 h-m-p 0.0078 2.1267 0.0593 C 1066.631950 0 0.0080 58960 | 20/40
941 h-m-p 0.0080 2.1234 0.0595 C 1066.631950 0 0.0079 59023 | 20/40
942 h-m-p 0.0079 2.1123 0.0597 C 1066.631950 0 0.0081 59086 | 20/40
943 h-m-p 0.0080 2.1097 0.0598 C 1066.631950 0 0.0079 59149 | 20/40
944 h-m-p 0.0079 2.0991 0.0600 C 1066.631950 0 0.0081 59212 | 20/40
945 h-m-p 0.0080 2.0978 0.0602 C 1066.631950 0 0.0079 59275 | 20/40
946 h-m-p 0.0079 2.0880 0.0603 C 1066.631949 0 0.0081 59338 | 20/40
947 h-m-p 0.0081 2.0847 0.0605 C 1066.631949 0 0.0080 59401 | 20/40
948 h-m-p 0.0079 2.0781 0.0607 C 1066.631949 0 0.0080 59464 | 20/40
949 h-m-p 0.0080 2.0726 0.0608 C 1066.631949 0 0.0080 59527 | 20/40
950 h-m-p 0.0080 2.0679 0.0609 C 1066.631949 0 0.0081 59590 | 20/40
951 h-m-p 0.0081 2.0650 0.0611 C 1066.631948 0 0.0080 59653 | 20/40
952 h-m-p 0.0080 2.0566 0.0612 C 1066.631948 0 0.0082 59716 | 20/40
953 h-m-p 0.0081 2.0571 0.0613 C 1066.631948 0 0.0080 59779 | 20/40
954 h-m-p 0.0080 2.0484 0.0614 C 1066.631948 0 0.0082 59842 | 20/40
955 h-m-p 0.0082 2.0496 0.0616 C 1066.631948 0 0.0080 59905 | 20/40
956 h-m-p 0.0080 2.0388 0.0617 C 1066.631947 0 0.0083 59968 | 20/40
957 h-m-p 0.0083 2.0449 0.0617 C 1066.631947 0 0.0080 60031 | 20/40
958 h-m-p 0.0079 2.0301 0.0619 C 1066.631947 0 0.0084 60094 | 20/40
959 h-m-p 0.0084 2.0405 0.0619 C 1066.631947 0 0.0079 60157 | 20/40
960 h-m-p 0.0079 2.0222 0.0621 C 1066.631946 0 0.0085 60220 | 20/40
961 h-m-p 0.0085 2.0385 0.0621 C 1066.631946 0 0.0078 60283 | 20/40
962 h-m-p 0.0078 2.0118 0.0622 C 1066.631946 0 0.0087 60346 | 20/40
963 h-m-p 0.0087 2.0411 0.0622 C 1066.631946 0 0.0076 60409 | 20/40
964 h-m-p 0.0076 1.9979 0.0624 C 1066.631945 0 0.0091 60472
QuantileBeta(0.05, 0.00777, 0.16152) = 1.376604e-160 2000 rounds
| 20/40
965 h-m-p 0.0091 2.0517 0.0623 Y 1066.631945 0 0.0072 60535
QuantileBeta(0.05, 0.00776, 0.16131) = 8.490480e-161 2000 rounds
| 20/40
966 h-m-p 0.0072 1.9748 0.0626 C 1066.631945 0 0.0098 60598
QuantileBeta(0.05, 0.00774, 0.16100) = 4.287370e-161 2000 rounds
| 20/40
967 h-m-p 0.0099 2.0778 0.0623
QuantileBeta(0.05, 0.00774, 0.15985) = 5.179363e-161 2000 rounds
Y 1066.631945 0 0.0063 60661
QuantileBeta(0.05, 0.00773, 0.16082) = 2.831718e-161 2000 rounds
| 20/40
968 h-m-p 0.0063 1.9361 0.0627
QuantileBeta(0.05, 0.00775, 0.16004) = 7.961085e-161 2000 rounds
Y 1066.631944 0 0.0112 60724
QuantileBeta(0.05, 0.00772, 0.16047) = 1.279775e-161 2000 rounds
| 20/40
969 h-m-p 0.0113 2.1386 0.0622
QuantileBeta(0.05, 0.00776, 0.16015) = 1.032061e-160 2000 rounds
C 1066.631944 0 0.0044 60787
QuantileBeta(0.05, 0.00771, 0.16035) = 5.027518e-162 2000 rounds
| 20/40
970 h-m-p 0.0043 1.8570 0.0633
QuantileBeta(0.05, 0.00776, 0.16021) = 1.162920e-160 2000 rounds
QuantileBeta(0.05, 0.00774, 0.15979) = 4.527030e-161 2000 rounds
+
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
Y 1066.631943 0 0.0141 60851
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15989) = 5.717919e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15995) = 5.704295e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15983) = 5.731586e-161 2000 rounds
| 20/40
971 h-m-p 0.0143 2.2882 0.0621
QuantileBeta(0.05, 0.00773, 0.15952) = 2.462857e-161 2000 rounds
QuantileBeta(0.05, 0.00774, 0.15980) = 4.636896e-161 2000 rounds
-
QuantileBeta(0.05, 0.00775, 0.15987) = 5.422587e-161 2000 rounds
-
QuantileBeta(0.05, 0.00775, 0.15988) = 5.644492e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
C 1066.631943 0 0.0003 60916
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15988) = 5.604858e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15994) = 5.591502e-161 2000 rounds
QuantileBeta(0.05, 0.00775, 0.15982) = 5.618257e-161 2000 rounds
| 20/40
972 h-m-p 0.0034 1.7045 0.0647
QuantileBeta(0.05, 0.00774, 0.15976) = 4.287005e-161 2000 rounds
QuantileBeta(0.05, 0.00772, 0.15940) = 1.911447e-161 2000 rounds
+
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
C 1066.631942 0 0.0200 60980
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149791e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 1.147029e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15911) = 1.152562e-161 2000 rounds
| 20/40
973 h-m-p 0.0208 2.6924 0.0623
QuantileBeta(0.05, 0.00771, 0.15906) = 4.617809e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15915) = 5.596462e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15917) = 1.131690e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15917) = 1.145239e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.148652e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149506e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149720e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149774e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
C 1066.631942 0 0.0000 61051
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 1.147025e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15911) = 1.152558e-161 2000 rounds
| 20/40
974 h-m-p 0.0003 0.1426 2.9870
QuantileBeta(0.05, 0.00771, 0.15907) = 4.573435e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15915) = 5.582966e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15917) = 1.131005e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15917) = 1.145063e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.148604e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149491e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149713e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149769e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149782e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149786e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
-..
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149787e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.175778e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 1.149764e-161 2000 rounds
| 20/40
975 h-m-p 0.0000 0.0003 17414.1402 -
QuantileBeta(0.05, 0.00771, 0.15918) = 4.610872e-162 2000 rounds
QuantileBeta(0.05, 0.00770, 0.15918) = 2.769789e-163 2000 rounds
Y
QuantileBeta(0.05, 0.00771, 0.15918) = 4.496684e-162 2000 rounds
C
QuantileBeta(0.05, 0.00771, 0.15918) = 5.247638e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.984713e-162 2000 rounds
Y
QuantileBeta(0.05, 0.00771, 0.15918) = 5.151659e-162 2000 rounds
Y
QuantileBeta(0.05, 0.00771, 0.15918) = 5.219061e-162 2000 rounds
Y
QuantileBeta(0.05, 0.00771, 0.15918) = 5.247280e-162 2000 rounds
C
QuantileBeta(0.05, 0.00771, 0.15918) = 5.594341e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.303253e-162 2000 rounds
C
QuantileBeta(0.05, 0.00771, 0.15918) = 5.446863e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.318051e-162 2000 rounds
C
QuantileBeta(0.05, 0.00771, 0.15918) = 5.382074e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323048e-162 2000 rounds
C
QuantileBeta(0.05, 0.00771, 0.15918) = 5.352480e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
C 1063.163018 9 0.0000 61180
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323727e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.444328e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 5.323618e-162 2000 rounds
| 20/40
976 h-m-p 0.0001 0.0007 21.6867 -YC 1063.159473 1 0.0000 61225 | 20/40
977 h-m-p 0.0000 0.0004 71.0806
QuantileBeta(0.05, 0.00771, 0.15918) = 4.739145e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
C 1063.157885 0 0.0000 61268
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670185e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.776055e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.670090e-162 2000 rounds
| 20/40
978 h-m-p 0.0001 0.0089 2.2513
QuantileBeta(0.05, 0.00771, 0.15918) = 4.538068e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15917) = 2.103112e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573647e-162 2000 rounds
Y
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
C 1063.157742 1 0.0001 61312
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573222e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.676905e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.573129e-162 2000 rounds
| 20/40
979 h-m-p 0.0001 0.0156 1.0477
QuantileBeta(0.05, 0.00771, 0.15918) = 4.607550e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581780e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
C 1063.157727 0 0.0000 61355
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581894e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.685773e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581801e-162 2000 rounds
| 20/40
980 h-m-p 0.0002 0.1183 0.2598
QuantileBeta(0.05, 0.00771, 0.15917) = 4.566132e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.577949e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
C 1063.157726 0 0.0000 61398
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.578670e-162 2000 rounds
QuantileBeta(0.05, 0.00777, 0.15918) = 1.450150e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 4.567669e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15911) = 4.589705e-162 2000 rounds
| 20/40
981 h-m-p 0.0030 1.4963 0.0637
QuantileBeta(0.05, 0.00771, 0.15923) = 5.261359e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15919) = 4.739009e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.618241e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.588531e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.581133e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
C 1063.157726 0 0.0000 61464
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.582127e-162 2000 rounds
QuantileBeta(0.05, 0.00777, 0.15918) = 1.451227e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 4.571118e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15911) = 4.593170e-162 2000 rounds
| 20/40
982 h-m-p 0.0045 2.2251 0.0230
QuantileBeta(0.05, 0.00771, 0.15926) = 5.511157e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15920) = 4.797034e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.634939e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.595273e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
C 1063.157726 0 0.0001 61529
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.601948e-162 2000 rounds
QuantileBeta(0.05, 0.00777, 0.15918) = 1.457402e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 4.590892e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 4.613039e-162 2000 rounds
| 20/40
983 h-m-p 0.0014 0.6937 0.0727
QuantileBeta(0.05, 0.00771, 0.15927) = 5.661391e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15920) = 4.845077e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.661568e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.616781e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605652e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
C 1063.157726 0 0.0000 61595
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.605630e-162 2000 rounds
QuantileBeta(0.05, 0.00777, 0.15918) = 1.458549e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 4.594565e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 4.616730e-162 2000 rounds
| 20/40
984 h-m-p 0.0010 0.4898 0.1666
QuantileBeta(0.05, 0.00772, 0.15934) = 1.258489e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15922) = 5.022358e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15919) = 4.706470e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.630637e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
C 1063.157726 0 0.0000 61660
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00777, 0.15918) = 1.468796e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 4.621157e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 4.643449e-162 2000 rounds
| 20/40
985 h-m-p 0.0015 0.7298 0.3202
QuantileBeta(0.05, 0.00773, 0.15964) = 2.472304e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15930) = 1.150249e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15921) = 4.933333e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15919) = 4.705789e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.650554e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.636846e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.633425e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632570e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632357e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632303e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632290e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632287e-162 2000 rounds
-..
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 4.632285e-162 2000 rounds
QuantileBeta(0.05, 0.00777, 0.15918) = 1.468796e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 4.621157e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 4.643449e-162 2000 rounds
| 20/40
986 h-m-p 0.0000 0.0020 1.3499
QuantileBeta(0.05, 0.00771, 0.15918) = 7.833777e-163 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
C 1063.157723 0 0.0000 61795
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038433e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.084758e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038391e-162 2000 rounds
| 20/40
987 h-m-p 0.0001 0.0736 0.0780
QuantileBeta(0.05, 0.00771, 0.15918) = 7.865560e-163 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.025945e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.035303e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
Y 1063.157723 0 0.0000 61839
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.033044e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.274101e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.028159e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.037943e-162 2000 rounds
| 20/40
988 h-m-p 0.0002 0.1066 0.0591
QuantileBeta(0.05, 0.00771, 0.15918) = 2.068102e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041752e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.035217e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
C 1063.157723 0 0.0000 61903
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.275178e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.029905e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.039698e-162 2000 rounds
| 20/40
989 h-m-p 0.0049 2.4366 0.0087
QuantileBeta(0.05, 0.00771, 0.15921) = 2.204347e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15919) = 2.075225e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.044827e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.037297e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.035419e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034950e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034833e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034803e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034796e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
-..
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034794e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.275178e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.029905e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.039698e-162 2000 rounds
| 20/40
990 h-m-p 0.0160 8.0000 0.3868 ---
QuantileBeta(0.05, 0.00773, 0.15918) = 2.571887e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 5.427410e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.194799e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.072973e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.044272e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.037159e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
C 1063.157723 0 0.0000 62047
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038198e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.277273e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.033301e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.043110e-162 2000 rounds
| 20/40
991 h-m-p 0.0160 8.0000 0.0477
QuantileBeta(0.05, 0.00772, 0.15945) = 1.212765e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15925) = 4.508030e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15920) = 2.095547e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15919) = 2.052387e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041736e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.039082e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
Y 1063.157723 0 0.0000 62114
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.038701e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.277583e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.033803e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.043614e-162 2000 rounds
| 20/40
992 h-m-p 0.0160 8.0000 0.0196
QuantileBeta(0.05, 0.00772, 0.15949) = 1.540281e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15926) = 4.781252e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15920) = 2.127067e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15919) = 2.060444e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.044115e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
Y 1063.157723 0 0.0000 62180
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041710e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.279434e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.036805e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.046630e-162 2000 rounds
| 20/40
993 h-m-p 0.0012 0.5911 0.2872
QuantileBeta(0.05, 0.00772, 0.15952) = 1.658034e-161 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15927) = 4.874396e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15920) = 2.139742e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15919) = 2.065791e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.047704e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.042723e-162 2000 rounds
Y 1063.157723 0 0.0000 62247
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.280355e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.038298e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.048131e-162 2000 rounds
| 20/40
994 h-m-p 0.0003 0.1295 4.3438
QuantileBeta(0.05, 0.00776, 0.16030) = 9.575157e-161 2000 rounds
QuantileBeta(0.05, 0.00772, 0.15946) = 1.458840e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15925) = 4.725865e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15920) = 2.124379e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15919) = 2.063206e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.048188e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.044451e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043517e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043284e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043226e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043211e-162 2000 rounds
-..
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.089640e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043165e-162 2000 rounds
| 20/40
995 h-m-p 0.0000 0.0195 0.1428
QuantileBeta(0.05, 0.00770, 0.15918) = 2.772019e-163 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.009237e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.034661e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.041067e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.042671e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043073e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043173e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043198e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043204e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00776, 0.15918) = 1.280355e-160 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15924) = 2.038298e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15912) = 2.048131e-162 2000 rounds
| 20/40
996 h-m-p 0.0160 8.0000 0.3665 ---
QuantileBeta(0.05, 0.00773, 0.15918) = 2.437848e-161 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 5.371371e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.195877e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.079653e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.052258e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.045466e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043771e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043348e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043242e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043215e-162 2000 rounds
-
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
Out..
lnL = -1063.157723
62443 lfun, 686873 eigenQcodon, 23103910 P(t)
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
QuantileBeta(0.05, 0.00771, 0.15918) = 2.043206e-162 2000 rounds
end of tree file.
Time used: 1:55:28
Model 8: beta&w>1
TREE # 1
(9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.084498 0.086649 0.093735 0.021909 0.069534 0.038375 0.022268 0.043940 0.081829 0.081674 0.073336 0.056520 0.018283 0.034183 0.107555 0.025880 0.105900 0.050241 0.038018 0.096769 0.067994 0.022572 0.060320 0.064405 0.095766 0.060035 0.052794 0.015453 0.048685 0.046138 0.107901 0.030246 0.082124 0.058004 0.030714 0.013415 0.075670 8.173766 0.900000 1.104719 1.054219 1.300000
ntime & nrate & np: 37 2 42
Bounds (np=42):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 2.570601
np = 42
lnL0 = -1403.809540
Iterating by ming2
Initial: fx= 1403.809540
x= 0.08450 0.08665 0.09374 0.02191 0.06953 0.03837 0.02227 0.04394 0.08183 0.08167 0.07334 0.05652 0.01828 0.03418 0.10755 0.02588 0.10590 0.05024 0.03802 0.09677 0.06799 0.02257 0.06032 0.06440 0.09577 0.06003 0.05279 0.01545 0.04869 0.04614 0.10790 0.03025 0.08212 0.05800 0.03071 0.01341 0.07567 8.17377 0.90000 1.10472 1.05422 1.30000
1 h-m-p 0.0000 0.0001 904.7628 ++ 1325.948833 m 0.0001 89 | 1/42
2 h-m-p 0.0000 0.0000 5022.0741 ++ 1310.325399 m 0.0000 176 | 2/42
3 h-m-p 0.0000 0.0000 2328.6415 ++ 1287.251324 m 0.0000 262 | 3/42
4 h-m-p 0.0000 0.0000 2857.1161 ++ 1285.542761 m 0.0000 347 | 4/42
5 h-m-p 0.0000 0.0000 7818.1704 ++ 1269.142619 m 0.0000 431 | 5/42
6 h-m-p 0.0000 0.0000 2961.7594 ++ 1249.648152 m 0.0000 514 | 6/42
7 h-m-p 0.0000 0.0000 5283.5515 ++ 1224.290293 m 0.0000 596 | 7/42
8 h-m-p 0.0000 0.0000 4905.9007 ++ 1223.232838 m 0.0000 677 | 8/42
9 h-m-p 0.0000 0.0000 16272.7342 ++ 1184.692428 m 0.0000 757 | 9/42
10 h-m-p 0.0000 0.0000 3394.3290 ++ 1173.492822 m 0.0000 836 | 10/42
11 h-m-p 0.0000 0.0000 1260.1574 ++ 1166.080694 m 0.0000 914 | 11/42
12 h-m-p 0.0000 0.0000 6727.1224 ++ 1165.477903 m 0.0000 991 | 12/42
13 h-m-p 0.0000 0.0000 27160.1485 ++ 1157.926909 m 0.0000 1067 | 13/42
14 h-m-p 0.0000 0.0000 35280.3726 ++ 1152.135976 m 0.0000 1142 | 14/42
15 h-m-p 0.0000 0.0000 10546.5544 ++ 1143.303987 m 0.0000 1216 | 15/42
16 h-m-p 0.0000 0.0000 9142.3906 ++ 1126.039334 m 0.0000 1289 | 16/42
17 h-m-p 0.0000 0.0000 5438.6314 ++ 1123.869100 m 0.0000 1361 | 17/42
18 h-m-p 0.0000 0.0000 3696.8731 ++ 1120.647221 m 0.0000 1432 | 18/42
19 h-m-p 0.0000 0.0000 2780.4350 ++ 1120.166532 m 0.0000 1502 | 19/42
20 h-m-p 0.0000 0.0000 774.0486 ++ 1117.140310 m 0.0000 1571 | 20/42
21 h-m-p 0.0000 0.0002 268.3520 +CYYCYYCCC 1109.490892 8 0.0002 1653 | 20/42
22 h-m-p 0.0001 0.0003 249.2734 +YYYYCYCCC 1105.109307 8 0.0002 1732 | 20/42
23 h-m-p 0.0001 0.0003 485.2911 +YYCYYCCC 1098.384446 7 0.0002 1810 | 20/42
24 h-m-p 0.0000 0.0000 12060.8258 +YYYCYCCC 1093.359226 7 0.0000 1888 | 20/42
25 h-m-p 0.0000 0.0000 33729.9208 +YYCCC 1089.889972 4 0.0000 1962 | 20/42
26 h-m-p 0.0002 0.0012 58.8939 ++ 1086.168094 m 0.0012 2029 | 21/42
27 h-m-p 0.0001 0.0004 42.4811 +YCYCCC 1085.461310 5 0.0002 2105 | 21/42
28 h-m-p 0.0002 0.0009 20.5467 +YCYCCC 1084.707047 5 0.0005 2180 | 21/42
29 h-m-p 0.0003 0.0035 31.2954 +YYYCCCCC 1083.795645 7 0.0015 2258 | 21/42
30 h-m-p 0.0004 0.0022 20.0348 CCCC 1083.490503 3 0.0007 2330 | 21/42
31 h-m-p 0.0013 0.0164 10.7754 +YYC 1083.211607 2 0.0042 2399 | 21/42
32 h-m-p 0.0007 0.0058 64.0531 ++ 1079.275803 m 0.0058 2465 | 22/42
33 h-m-p 0.0002 0.0012 770.9730 +YYYCCCC 1072.840757 6 0.0009 2541 | 22/42
34 h-m-p 0.0013 0.0063 65.3292 +YYYYCCC 1069.697014 6 0.0049 2615 | 21/42
35 h-m-p 0.0001 0.0003 331.8671 ++ 1068.678546 m 0.0003 2680 | 22/42
36 h-m-p 0.0060 0.0625 9.6424
QuantileBeta(0.15, 0.00500, 2.24243) = 1.165807e-160 2000 rounds
+
QuantileBeta(0.15, 0.00500, 2.61283) = 9.655437e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.24423) = 1.164632e-160 2000 rounds
C
QuantileBeta(0.15, 0.00500, 2.42853) = 1.055871e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.52068) = 1.008707e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.36872) = 1.088896e-160 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.38255) = 1.081077e-160 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.38508) = 1.079661e-160 2000 rounds
C
QuantileBeta(0.15, 0.00500, 2.40680) = 1.067635e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
C 1067.062893 4 0.0390 2754
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.116962e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38588) = 1.079214e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38562) = 1.079356e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.38575) = 1.079285e-160 2000 rounds
| 22/42
37 h-m-p 0.0047 0.0535 80.3562
QuantileBeta(0.15, 0.00500, 2.76101) = 9.033296e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88680) = 6.058828e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.22764) = 7.507437e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.14037) = 7.752552e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 2.95069) = 8.344365e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09471) = 7.887259e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.09176) = 7.896111e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.02123) = 8.114088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
C 1065.373666 4 0.0088 2825
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 8.177164e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09017) = 7.900898e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.08988) = 7.901764e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.09003) = 7.901331e-161 2000 rounds
| 22/42
38 h-m-p 0.0497 0.2484 0.5940
QuantileBeta(0.15, 0.00500, 3.11942) = 7.813786e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.20759) = 7.562359e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.23699) = 7.482090e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.16483) = 7.682252e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.18065) = 7.637456e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.18281) = 7.631390e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.19520) = 7.596719e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18547) = 7.623930e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.18566) = 7.623384e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.19043) = 7.610028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
C 1064.420514 5 0.1620 2898
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.889005e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18598) = 7.622483e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18569) = 7.623302e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.18584) = 7.622892e-161 2000 rounds
| 22/42
39 h-m-p 0.3107 1.5535 0.2791
QuantileBeta(0.15, 0.00500, 3.27221) = 7.388096e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.53134) = 6.762821e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.32437) = 7.253149e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.33667) = 7.222048e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.43400) = 6.984928e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35116) = 7.185726e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.39258) = 7.083911e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35331) = 7.180390e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.37294) = 7.131826e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35383) = 7.179096e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.36338) = 7.155383e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
C 1063.399558 5 0.6044 2972
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.429606e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35402) = 7.178617e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35372) = 7.179363e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.35387) = 7.178990e-161 2000 rounds
| 22/42
40 h-m-p 0.4949 2.4744 0.0581
QuantileBeta(0.15, 0.00500, 3.38158) = 7.110684e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46470) = 6.913317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.40594) = 7.051697e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.40972) = 7.042610e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.43721) = 6.977367e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41531) = 7.029252e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.41575) = 7.028194e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.42648) = 7.002689e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41619) = 7.027158e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.42134) = 7.014902e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
C 1062.710822 5 1.1137 3045
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.272387e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41638) = 7.026714e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41607) = 7.027435e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.41622) = 7.027074e-161 2000 rounds
| 21/42
41 h-m-p 0.0823 0.8160 0.7857
QuantileBeta(0.15, 0.00500, 3.42654) = 7.002568e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.45747) = 6.930058e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.51845) = 6.791424e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.44505) = 6.958980e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.45268) = 6.941196e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.45592) = 6.933668e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.45731) = 6.930434e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.48796) = 6.860044e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46066) = 6.922664e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.47431) = 6.891212e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46135) = 6.921070e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.46783) = 6.906109e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46157) = 6.920571e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.46470) = 6.913333e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
C 1062.343846 7 0.3622 3122
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 7.162107e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46174) = 6.920162e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46144) = 6.920867e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.46159) = 6.920515e-161 2000 rounds
| 21/42
42 h-m-p 0.2579 4.4031 1.1033
QuantileBeta(0.15, 0.00500, 3.53395) = 6.757042e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.75104) = 6.309738e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 4.61941) = 4.987670e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.76686) = 6.279439e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.64250) = 6.525764e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73667) = 6.337515e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.68959) = 6.430267e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73553) = 6.339737e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.71256) = 6.384683e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
C 1061.760566 3 0.9754 3195
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.561576e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73543) = 6.339932e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73511) = 6.340548e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73527) = 6.340240e-161 2000 rounds
| 21/42
43 h-m-p 0.2378 1.1889 0.7614
QuantileBeta(0.15, 0.00500, 3.76191) = 6.288900e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.84182) = 6.139734e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77680) = 6.260555e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.80931) = 6.199558e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79046) = 6.234780e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.79096) = 6.233834e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.80014) = 6.216649e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79205) = 6.231793e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.79609) = 6.224212e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
C 1061.563930 4 0.5075 3268
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.449206e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79228) = 6.231361e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79196) = 6.231961e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79212) = 6.231661e-161 2000 rounds
| 21/42
44 h-m-p 0.9613 5.5736 0.4020
QuantileBeta(0.15, 0.00500, 3.95274) = 5.943993e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.43459) = 5.220602e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90937) = 6.019016e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.91546) = 6.008374e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.93410) = 5.976011e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
C 1061.447733 2 0.7360 3337
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.218780e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91526) = 6.008724e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91493) = 6.009291e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91510) = 6.009008e-161 2000 rounds
| 21/42
45 h-m-p 0.9134 8.0000 0.3239
QuantileBeta(0.15, 0.00500, 3.95451) = 5.940964e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.07275) = 5.745749e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98842) = 5.883650e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.98882) = 5.882970e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 4.03079) = 5.813553e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
C 1061.352350 2 1.7217 3406
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 6.087352e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98956) = 5.881738e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98923) = 5.882288e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.98939) = 5.882013e-161 2000 rounds
| 21/42
46 h-m-p 1.5178 8.0000 0.3674
QuantileBeta(0.15, 0.00500, 4.07379) = 5.744103e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.32696) = 5.366525e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05313) = 5.777263e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 4.05638) = 5.772019e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 4.06508) = 5.758027e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
C 1061.280378 2 1.2054 3475
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.973455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05658) = 5.771691e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05625) = 5.772225e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.05642) = 5.771958e-161 2000 rounds
| 21/42
47 h-m-p 1.2035 6.0175 0.3070
QuantileBeta(0.15, 0.00500, 4.08587) = 5.724886e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.17422) = 5.588155e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.07643) = 5.739882e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 4.08140) = 5.731976e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
C 1061.252671 2 1.0311 3543
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.931670e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08181) = 5.731318e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08148) = 5.731847e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.08165) = 5.731582e-161 2000 rounds
| 21/42
48 h-m-p 1.6000 8.0000 0.1752
QuantileBeta(0.15, 0.00500, 4.04968) = 5.782832e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95378) = 5.942213e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04780) = 5.785867e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 4.06566) = 5.757094e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04894) = 5.784026e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
C 1061.219716 2 1.6368 3612
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.985939e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04911) = 5.783753e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04878) = 5.784289e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04895) = 5.784021e-161 2000 rounds
| 21/42
49 h-m-p 1.6000 8.0000 0.1103
QuantileBeta(0.15, 0.00500, 4.00420) = 5.857343e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86996) = 6.088862e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00897) = 5.849442e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 4.02896) = 5.816548e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
C 1061.199808 1 1.4162 3680
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 6.053005e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00950) = 5.848552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00918) = 5.849097e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.00934) = 5.848825e-161 2000 rounds
| 21/42
50 h-m-p 1.6000 8.0000 0.0633
QuantileBeta(0.15, 0.00500, 3.95469) = 5.940653e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79075) = 6.234230e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95615) = 5.938173e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.87272) = 6.083914e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95314) = 5.943302e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.91293) = 6.012789e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
C 1061.183335 2 1.6484 3750
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 6.150959e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95320) = 5.943196e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95288) = 5.943754e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.95304) = 5.943475e-161 2000 rounds
| 21/42
51 h-m-p 1.6000 8.0000 0.0442
QuantileBeta(0.15, 0.00500, 3.88974) = 6.053601e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.69986) = 6.409808e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85460) = 6.116524e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.77723) = 6.259745e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
C 1061.169966 1 2.4445 3818
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.326802e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85650) = 6.113094e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85617) = 6.113677e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85633) = 6.113385e-161 2000 rounds
| 21/42
52 h-m-p 1.5412 8.0000 0.0701
QuantileBeta(0.15, 0.00500, 3.82508) = 6.170380e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.73133) = 6.347901e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82198) = 6.176109e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.77665) = 6.260831e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
C 1061.162078 1 1.7256 3886
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.392917e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82151) = 6.176974e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82119) = 6.177567e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82135) = 6.177270e-161 2000 rounds
| 21/42
53 h-m-p 1.6000 8.0000 0.0440
QuantileBeta(0.15, 0.00500, 3.80641) = 6.204949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.76160) = 6.289487e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80446) = 6.208586e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.78303) = 6.248775e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
C 1061.157501 1 1.7745 3954
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.424700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80494) = 6.207683e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80462) = 6.208280e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80478) = 6.207982e-161 2000 rounds
| 21/42
54 h-m-p 1.6000 8.0000 0.0167
QuantileBeta(0.15, 0.00500, 3.80562) = 6.206413e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80815) = 6.201714e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205723e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.80707) = 6.203717e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
C 1061.153231 1 2.3013 4022
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.422366e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80615) = 6.205428e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80583) = 6.206024e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80599) = 6.205726e-161 2000 rounds
| 21/42
55 h-m-p 0.8399 8.0000 0.0456
QuantileBeta(0.15, 0.00500, 3.80716) = 6.203545e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81068) = 6.197012e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.81715) = 6.185015e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199614e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
C 1061.149498 1 2.3583 4090
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.416033e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80944) = 6.199309e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80912) = 6.199904e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80928) = 6.199607e-161 2000 rounds
| 21/42
56 h-m-p 1.4455 8.0000 0.0744
QuantileBeta(0.15, 0.00500, 3.80446) = 6.208589e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.78997) = 6.235691e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79914) = 6.218516e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
C 1061.145669 1 3.0269 4157
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.435529e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79933) = 6.218146e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79901) = 6.218744e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.79917) = 6.218445e-161 2000 rounds
| 21/42
57 h-m-p 1.6000 8.0000 0.0817
QuantileBeta(0.15, 0.00500, 3.80570) = 6.206271e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82527) = 6.170032e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80820) = 6.201622e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.81674) = 6.185786e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
C 1061.141116 1 2.2421 4225
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.417887e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80848) = 6.201100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80816) = 6.201696e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.80832) = 6.201398e-161 2000 rounds
| 21/42
58 h-m-p 1.6000 8.0000 0.0050
QuantileBeta(0.15, 0.00500, 3.81356) = 6.191675e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82927) = 6.162689e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81282) = 6.193040e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.81057) = 6.197216e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
C 1061.140600 1 1.3661 4293
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.409294e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81295) = 6.192798e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81263) = 6.193392e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81279) = 6.193095e-161 2000 rounds
| 21/42
59 h-m-p 0.7597 8.0000 0.0089
QuantileBeta(0.15, 0.00500, 3.81554) = 6.188004e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82378) = 6.172782e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181933e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
C 1061.140500 1 1.6670 4360
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.397745e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81898) = 6.181640e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81866) = 6.182232e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81882) = 6.181936e-161 2000 rounds
| 21/42
60 h-m-p 1.6000 8.0000 0.0012
QuantileBeta(0.15, 0.00500, 3.81980) = 6.180132e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82273) = 6.174725e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
C 1061.140494 0 1.8373 4426
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.395601e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82010) = 6.179568e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81978) = 6.180160e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81994) = 6.179864e-161 2000 rounds
| 21/42
61 h-m-p 1.6000 8.0000 0.0011
QuantileBeta(0.15, 0.00500, 3.82011) = 6.179543e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82064) = 6.178581e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
+ 1061.140478 m 8.0000 4492
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.393942e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82097) = 6.177965e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82065) = 6.178557e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82081) = 6.178261e-161 2000 rounds
| 21/42
62 h-m-p 1.6000 8.0000 0.0030
QuantileBeta(0.15, 0.00500, 3.82057) = 6.178706e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81984) = 6.180041e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
C 1061.140475 0 1.3597 4558
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.394333e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82076) = 6.178343e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82044) = 6.178935e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178639e-161 2000 rounds
| 21/42
63 h-m-p 1.6000 8.0000 0.0003
QuantileBeta(0.15, 0.00500, 3.82047) = 6.178878e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82009) = 6.179595e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
C 1061.140474 0 2.2635 4624
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.394683e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82058) = 6.178681e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82026) = 6.179273e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82042) = 6.178977e-161 2000 rounds
| 21/42
64 h-m-p 1.6000 8.0000 0.0003
QuantileBeta(0.15, 0.00500, 3.82047) = 6.178885e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82062) = 6.178609e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
C 1061.140474 0 1.9448 4690
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.394567e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82064) = 6.178569e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82032) = 6.179161e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82048) = 6.178865e-161 2000 rounds
| 21/42
65 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178852e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82051) = 6.178815e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
C 1061.140474 0 1.9998 4756
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.394551e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82065) = 6.178553e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82033) = 6.179145e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
| 21/42
66 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178850e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
Y 1061.140474 0 0.6457 4822
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.394551e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82065) = 6.178553e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82033) = 6.179146e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
| 21/42
67 h-m-p 0.0673 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178849e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82049) = 6.178846e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.82052) = 6.178797e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178837e-161 2000 rounds
C 1061.140474 0 1.0766 4890
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.394537e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82066) = 6.178540e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82034) = 6.179133e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178836e-161 2000 rounds
| 21/42
68 h-m-p 0.5267 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 3.82050) = 6.178822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178777e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.82062) = 6.178612e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
C 1061.140474 0 2.1646 4957
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.394475e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82069) = 6.178479e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82037) = 6.179072e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82053) = 6.178776e-161 2000 rounds
| 21/42
69 h-m-p 1.6000 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 3.82056) = 6.178724e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82064) = 6.178571e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
Y 1061.140474 0 3.8000 5023
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.394349e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82076) = 6.178358e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82044) = 6.178950e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82060) = 6.178654e-161 2000 rounds
| 21/42
70 h-m-p 1.6000 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 3.82056) = 6.178726e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178672e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
Y 1061.140474 0 0.2030 5089
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.394358e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82075) = 6.178367e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82043) = 6.178959e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178663e-161 2000 rounds
| 21/42
71 h-m-p 0.2471 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178671e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178666e-161 2000 rounds
C 1061.140474 0 0.0618 5155
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.394360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82075) = 6.178369e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82043) = 6.178961e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178665e-161 2000 rounds
| 21/42
72 h-m-p 0.0619 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178672e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
C 1061.140474 0 0.0619 5221
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.394362e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82075) = 6.178371e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82043) = 6.178963e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
| 21/42
73 h-m-p 0.0648 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178668e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-..
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.394362e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82075) = 6.178371e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82043) = 6.178963e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
| 21/42
74 h-m-p 0.0106 5.2903 0.0030
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
Out..
lnL = -1061.140474
5377 lfun, 64524 eigenQcodon, 2188439 P(t)
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -1075.477356 S = -1058.169205 -35.103246
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 82 patterns 2:07:03
did 20 / 82 patterns 2:07:04
did 30 / 82 patterns 2:07:04
did 40 / 82 patterns 2:07:04
did 50 / 82 patterns 2:07:04
did 60 / 82 patterns 2:07:04
did 70 / 82 patterns 2:07:05
did 80 / 82 patterns 2:07:05
did 82 / 82 patterns 2:07:05
QuantileBeta(0.15, 0.00500, 3.82059) = 6.178667e-161 2000 rounds
end of tree file.
Time used: 2:07:05
The loglikelihoods for models M1, M2, M7 and M8 are -1061.886959 -1061.140499 -1063.157723 -1061.140474 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDR
************************************************************
USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWPKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWVKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 SSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWR
********************** *************************************
USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 CIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESN
************************************************************
USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 NDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
*************************************
>USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCACTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATAAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTAATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAACCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGATTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATAAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTAATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATATCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGCCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGGGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGGGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATTGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCTACGCGTAATCGTGTGATCTACGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACTATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGTCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCGATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCTCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTCTATAAGTATATG >PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAAAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACTATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTTACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTCTGATGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCTACGCGTAATCGTGTGATCTACGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACTATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCGATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCTTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG
>USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWPKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWVKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM >USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTLVVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAWALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANGISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGLHTITTSKAGDARLYKYM
Reading sequence file /data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/codeml/fasta/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Found 30 sequences of length 651
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.7%
Found 15 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 2
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 19 polymorphic sites
**p-Value(s)**
----------
NSS: 1.00e+00 (1000 permutations)
Max Chi^2: 9.26e-01 (1000 permutations)
PHI (Permutation): 1.00e+00 (1000 permutations)
PHI (Normal): 1.00e+00
#NEXUS
[ID: 9374270011]
begin taxa;
dimensions ntax=30;
taxlabels
HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15
IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15
MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15
Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15
NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15
OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15
CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15
PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15
CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15
SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15
USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15
USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15
;
end;
begin trees;
translate
1 HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15,
2 IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15,
3 KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15,
4 MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15,
5 Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15,
6 NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15,
7 OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15,
8 CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15,
9 PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15,
10 PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15,
11 PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15,
12 PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15,
13 CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15,
14 PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
15 SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
16 TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15,
17 SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15,
18 USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15,
19 CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15,
20 USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15,
21 USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
22 USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
23 USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15,
24 USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
25 USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
26 USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
27 USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15,
28 USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15,
29 CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15,
30 HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:4.077033e-04,8:3.756449e-04,(((2:3.761388e-04,3:3.688264e-04,4:9.439762e-04,5:9.719135e-04,(6:3.954591e-04,26:4.032038e-04)0.989:9.494998e-04,7:3.868644e-04,(9:9.489760e-04,15:3.973737e-04,17:4.031119e-04,23:9.457142e-04,27:3.663130e-04,28:4.179803e-04)0.930:9.306837e-04,12:3.794076e-04,14:3.907036e-04,18:3.862095e-04,20:4.205808e-04,21:4.005950e-04,22:3.877587e-04,24:3.912359e-04,25:4.026598e-04)1.000:2.100866e-03,19:9.712939e-04)0.914:9.316431e-04,(10:9.235419e-04,16:2.146925e-03)1.000:3.270061e-03,(11:1.458695e-03,13:3.827394e-04,29:1.540055e-03)0.953:9.597260e-04,30:9.791774e-04)1.000:2.143427e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:4.077033e-04,8:3.756449e-04,(((2:3.761388e-04,3:3.688264e-04,4:9.439762e-04,5:9.719135e-04,(6:3.954591e-04,26:4.032038e-04):9.494998e-04,7:3.868644e-04,(9:9.489760e-04,15:3.973737e-04,17:4.031119e-04,23:9.457142e-04,27:3.663130e-04,28:4.179803e-04):9.306837e-04,12:3.794076e-04,14:3.907036e-04,18:3.862095e-04,20:4.205808e-04,21:4.005950e-04,22:3.877587e-04,24:3.912359e-04,25:4.026598e-04):2.100866e-03,19:9.712939e-04):9.316431e-04,(10:9.235419e-04,16:2.146925e-03):3.270061e-03,(11:1.458695e-03,13:3.827394e-04,29:1.540055e-03):9.597260e-04,30:9.791774e-04):2.143427e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -1127.77 -1148.47
2 -1129.14 -1149.48
--------------------------------------
TOTAL -1128.24 -1149.10
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.050056 0.000118 0.031644 0.071166 0.048907 1145.11 1309.88 1.000
r(A<->C){all} 0.028466 0.000775 0.000009 0.084635 0.020440 372.13 375.60 1.003
r(A<->G){all} 0.206992 0.004495 0.082616 0.333887 0.201570 264.75 324.40 1.000
r(A<->T){all} 0.051137 0.001170 0.000585 0.117086 0.043708 362.11 447.20 1.001
r(C<->G){all} 0.094074 0.002611 0.012232 0.193047 0.085443 322.18 324.65 1.000
r(C<->T){all} 0.563675 0.007716 0.381205 0.724733 0.563962 316.05 330.05 1.003
r(G<->T){all} 0.055655 0.001378 0.002059 0.127808 0.048625 425.37 441.52 1.007
pi(A){all} 0.263555 0.000300 0.225584 0.294966 0.263602 897.68 917.06 1.000
pi(C){all} 0.243153 0.000263 0.214167 0.277183 0.242674 1092.60 1161.51 1.001
pi(G){all} 0.218967 0.000242 0.188479 0.249153 0.218666 1083.69 1124.08 1.000
pi(T){all} 0.274326 0.000299 0.240892 0.307644 0.274961 935.52 1018.72 1.000
alpha{1,2} 0.622052 0.704463 0.000023 2.255639 0.302602 849.29 876.49 1.000
alpha{3} 1.772951 1.339159 0.114053 4.199260 1.554415 1109.98 1150.01 1.000
pinvar{all} 0.295717 0.041180 0.000013 0.667437 0.267699 454.59 621.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 217
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 4 4 4 3 3 3 | Ser TCT 3 3 3 3 3 3 | Tyr TAT 5 5 5 5 5 5 | Cys TGT 0 0 0 0 0 0
TTC 4 4 4 5 5 5 | TCC 2 2 2 2 2 2 | TAC 3 3 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 8 8 8 8 8 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 2 2 2 2 2 2 | His CAT 2 1 1 2 2 2 | Arg CGT 3 3 3 3 3 2
CTC 6 6 6 6 6 6 | CCC 2 2 2 2 2 2 | CAC 3 4 4 3 3 3 | CGC 2 2 2 2 2 3
CTA 2 2 2 2 2 2 | CCA 6 6 6 6 6 6 | Gln CAA 3 3 3 4 4 4 | CGA 0 0 0 0 0 0
CTG 6 6 6 6 6 6 | CCG 1 1 1 1 1 1 | CAG 3 3 3 2 2 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 12 12 12 11 12 | Thr ACT 2 2 2 2 3 2 | Asn AAT 3 3 3 3 3 2 | Ser AGT 2 2 2 2 2 2
ATC 4 4 4 4 4 4 | ACC 8 8 8 8 7 8 | AAC 3 3 3 3 3 4 | AGC 0 0 0 0 0 0
ATA 7 7 7 7 8 7 | ACA 2 2 2 2 2 2 | Lys AAA 3 3 3 3 3 3 | Arg AGA 4 4 4 4 4 4
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 9 9 9 9 9 9 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 5 5 5 6 7 7 | Ala GCT 5 5 5 5 5 5 | Asp GAT 3 3 3 3 3 4 | Gly GGT 3 3 3 3 3 3
GTC 4 4 4 3 2 2 | GCC 5 5 5 5 5 5 | GAC 8 8 8 8 8 7 | GGC 4 4 4 4 4 4
GTA 1 1 1 1 2 1 | GCA 6 6 6 7 6 6 | Glu GAA 3 3 3 3 3 3 | GGA 2 2 2 2 2 2
GTG 7 7 7 7 6 7 | GCG 2 2 2 1 2 2 | GAG 3 3 3 3 3 3 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 4 4 3 4 4 4 | Ser TCT 3 3 3 3 3 3 | Tyr TAT 5 5 5 5 5 5 | Cys TGT 0 0 0 0 0 0
TTC 4 4 5 4 4 4 | TCC 2 2 2 2 2 2 | TAC 3 3 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 8 8 8 8 8 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 2 2 2 2 2 2 | His CAT 2 2 2 2 1 2 | Arg CGT 3 3 3 3 3 3
CTC 6 6 6 6 6 6 | CCC 2 2 2 2 2 2 | CAC 3 3 3 3 4 3 | CGC 2 2 2 2 2 2
CTA 2 2 2 2 2 2 | CCA 6 6 6 6 6 6 | Gln CAA 3 3 4 3 3 3 | CGA 0 0 0 0 0 0
CTG 6 6 6 6 6 6 | CCG 1 1 1 1 1 1 | CAG 3 3 2 3 3 3 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 12 11 12 12 12 | Thr ACT 2 2 3 2 2 2 | Asn AAT 3 3 3 3 3 3 | Ser AGT 2 2 2 2 2 2
ATC 4 4 4 4 4 4 | ACC 8 8 7 8 8 8 | AAC 3 3 3 3 3 3 | AGC 0 0 0 0 0 0
ATA 7 7 8 7 7 7 | ACA 2 2 2 2 2 2 | Lys AAA 3 3 3 3 3 3 | Arg AGA 4 4 4 4 4 4
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 9 9 9 9 9 9 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 5 5 7 5 5 5 | Ala GCT 5 5 5 5 5 5 | Asp GAT 3 3 3 3 3 3 | Gly GGT 3 3 3 3 3 3
GTC 4 4 2 4 4 4 | GCC 5 5 5 5 5 5 | GAC 8 8 8 8 8 8 | GGC 4 4 4 4 4 4
GTA 1 1 2 1 1 1 | GCA 6 6 6 6 6 6 | Glu GAA 3 3 3 3 3 3 | GGA 2 2 2 2 2 2
GTG 7 7 6 7 7 7 | GCG 2 2 2 2 2 2 | GAG 3 3 3 3 3 3 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 4 4 3 4 4 4 | Ser TCT 3 3 3 3 3 3 | Tyr TAT 6 5 5 5 5 5 | Cys TGT 0 0 0 0 0 0
TTC 4 4 5 4 4 4 | TCC 2 2 2 2 2 2 | TAC 2 3 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 8 8 8 8 8 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 2 2 2 2 2 2 | His CAT 1 2 2 2 2 2 | Arg CGT 3 3 3 3 3 3
CTC 6 6 6 6 6 6 | CCC 2 2 3 2 2 2 | CAC 4 3 3 3 3 3 | CGC 2 2 2 2 2 2
CTA 2 2 2 2 2 2 | CCA 6 6 6 6 6 6 | Gln CAA 3 3 4 3 3 3 | CGA 0 0 0 0 0 0
CTG 6 6 6 6 6 6 | CCG 1 1 1 1 1 1 | CAG 3 3 2 3 3 3 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 12 12 12 12 12 | Thr ACT 2 2 2 2 2 2 | Asn AAT 3 3 3 3 3 3 | Ser AGT 2 2 2 2 2 2
ATC 4 4 4 4 4 4 | ACC 8 8 8 8 8 8 | AAC 3 3 3 3 3 3 | AGC 0 0 0 0 0 0
ATA 7 7 7 7 7 7 | ACA 2 2 2 2 2 2 | Lys AAA 3 3 3 3 3 3 | Arg AGA 4 4 4 4 4 4
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 9 9 9 9 9 9 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 5 5 7 5 5 5 | Ala GCT 5 5 5 5 5 5 | Asp GAT 3 3 3 3 3 3 | Gly GGT 3 3 3 3 3 3
GTC 4 4 2 4 4 4 | GCC 5 5 4 5 5 5 | GAC 8 8 8 8 8 8 | GGC 4 4 4 4 4 4
GTA 1 1 1 1 1 1 | GCA 6 6 6 6 6 6 | Glu GAA 3 3 3 3 3 3 | GGA 2 2 2 2 1 1
GTG 7 7 7 7 7 7 | GCG 2 2 2 2 2 2 | GAG 3 3 3 3 3 3 | GGG 2 2 2 2 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 4 4 3 4 4 3 | Ser TCT 3 3 3 3 3 3 | Tyr TAT 5 5 4 5 5 5 | Cys TGT 0 0 0 0 0 0
TTC 4 4 5 4 4 5 | TCC 2 2 2 2 2 2 | TAC 3 3 4 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 2 2 1 2 2 2 | TCA 8 8 8 8 8 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 2 2 3 2 2 2 | His CAT 2 2 2 2 1 2 | Arg CGT 3 3 3 3 3 2
CTC 6 6 7 6 6 6 | CCC 2 2 2 2 2 2 | CAC 3 3 3 3 4 3 | CGC 2 2 2 2 2 3
CTA 2 2 3 2 2 2 | CCA 6 6 5 6 6 6 | Gln CAA 3 3 4 3 3 4 | CGA 0 0 0 0 0 0
CTG 6 6 5 6 6 6 | CCG 1 1 1 1 1 1 | CAG 3 3 2 3 3 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 13 12 12 12 12 12 | Thr ACT 2 2 3 2 2 3 | Asn AAT 3 3 3 3 3 3 | Ser AGT 2 2 2 2 2 2
ATC 3 4 4 4 4 4 | ACC 8 8 7 8 8 7 | AAC 3 3 3 3 3 3 | AGC 0 0 0 0 0 0
ATA 7 7 7 7 7 7 | ACA 2 2 2 2 2 2 | Lys AAA 3 3 3 3 3 3 | Arg AGA 4 4 4 4 4 4
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 9 9 9 9 9 9 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 5 5 7 5 5 7 | Ala GCT 5 5 6 5 5 5 | Asp GAT 3 3 3 3 3 3 | Gly GGT 3 3 3 3 3 3
GTC 4 4 3 4 4 2 | GCC 5 5 3 5 5 5 | GAC 8 8 8 8 8 8 | GGC 4 4 4 4 4 4
GTA 1 1 1 1 1 1 | GCA 6 6 6 6 6 6 | Glu GAA 3 3 3 3 3 4 | GGA 2 2 2 2 2 2
GTG 7 7 7 7 7 7 | GCG 2 2 2 2 2 2 | GAG 3 3 3 3 3 2 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 5 3 4 4 3 4 | Ser TCT 3 3 3 4 3 3 | Tyr TAT 5 4 5 5 5 5 | Cys TGT 0 0 0 0 0 0
TTC 3 5 4 4 5 4 | TCC 2 2 2 1 2 2 | TAC 3 4 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 2 1 2 2 2 2 | TCA 8 8 8 8 8 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 2 2 2 2 2 2 | His CAT 2 2 2 1 2 2 | Arg CGT 3 3 3 3 2 3
CTC 6 6 6 6 6 6 | CCC 2 2 2 2 2 2 | CAC 3 3 3 4 3 3 | CGC 2 2 2 2 3 2
CTA 2 3 2 2 2 2 | CCA 6 5 6 6 6 6 | Gln CAA 3 4 3 3 4 3 | CGA 0 0 0 0 0 0
CTG 6 6 6 6 6 6 | CCG 1 2 1 1 1 1 | CAG 3 2 3 3 2 3 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 12 12 12 12 12 | Thr ACT 2 3 2 2 2 2 | Asn AAT 3 3 3 3 3 3 | Ser AGT 2 2 2 2 2 2
ATC 4 4 4 4 4 4 | ACC 8 7 8 8 8 8 | AAC 3 3 3 3 3 3 | AGC 0 0 0 0 0 0
ATA 7 7 7 7 7 7 | ACA 2 2 2 2 2 2 | Lys AAA 3 3 3 3 3 3 | Arg AGA 4 4 4 4 4 4
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 9 9 9 9 9 9 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 5 7 5 5 7 5 | Ala GCT 5 6 5 5 5 5 | Asp GAT 3 4 3 3 3 3 | Gly GGT 3 3 3 3 3 3
GTC 4 2 4 4 2 4 | GCC 5 4 5 5 5 5 | GAC 8 7 8 8 8 8 | GGC 4 4 4 4 4 4
GTA 1 1 1 1 1 1 | GCA 6 6 6 6 6 6 | Glu GAA 3 3 3 3 3 3 | GGA 2 2 2 2 2 2
GTG 7 7 7 7 7 7 | GCG 2 2 2 2 2 2 | GAG 3 3 3 3 3 3 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C52
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#2: C59
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.26728 C:0.27650 A:0.22581 G:0.23041
Average T:0.26728 C:0.24731 A:0.26267 G:0.22273
#3: C58
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.26728 C:0.27650 A:0.22581 G:0.23041
Average T:0.26728 C:0.24731 A:0.26267 G:0.22273
#4: C4
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.23502 G:0.22120
Average T:0.26882 C:0.24578 A:0.26575 G:0.21966
#5: C2
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27650 C:0.26267 A:0.23963 G:0.22120
Average T:0.27035 C:0.24270 A:0.26728 G:0.21966
#6: C7
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.23041 G:0.22581
Average T:0.26882 C:0.24578 A:0.26421 G:0.22120
#7: C53
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#8: C13
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#9: C10
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27650 C:0.26267 A:0.23963 G:0.22120
Average T:0.27035 C:0.24270 A:0.26728 G:0.21966
#10: C17
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#11: C36
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.26728 C:0.27650 A:0.22581 G:0.23041
Average T:0.26728 C:0.24731 A:0.26267 G:0.22273
#12: C44
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#13: C21
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#14: C48
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#15: C8
position 1: T:0.18433 C:0.21659 A:0.31336 G:0.28571
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27650 C:0.26728 A:0.23041 G:0.22581
Average T:0.27035 C:0.24578 A:0.26421 G:0.21966
#16: C27
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#17: C16
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22120 G:0.23502
Average T:0.26882 C:0.24578 A:0.26114 G:0.22427
#18: C56
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22120 G:0.23502
Average T:0.26882 C:0.24578 A:0.26114 G:0.22427
#19: C15
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27650 C:0.26728 A:0.22581 G:0.23041
Average T:0.27035 C:0.24424 A:0.26267 G:0.22273
#20: C47
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#21: C37
position 1: T:0.17972 C:0.21659 A:0.31336 G:0.29032
position 2: T:0.35484 C:0.24885 A:0.24885 G:0.14747
position 3: T:0.28571 C:0.26728 A:0.22581 G:0.22120
Average T:0.27343 C:0.24424 A:0.26267 G:0.21966
#22: C31
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#23: C38
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.26728 C:0.27650 A:0.22581 G:0.23041
Average T:0.26728 C:0.24731 A:0.26267 G:0.22273
#24: C23
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27650 C:0.26728 A:0.23502 G:0.22120
Average T:0.27035 C:0.24424 A:0.26575 G:0.21966
#25: C14
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27650 C:0.26728 A:0.22581 G:0.23041
Average T:0.27035 C:0.24424 A:0.26267 G:0.22273
#26: C22
position 1: T:0.17972 C:0.21659 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.28571 C:0.25806 A:0.22581 G:0.23041
Average T:0.27189 C:0.24270 A:0.26267 G:0.22273
#27: C11
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#28: C51
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
#29: C3
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.23041 G:0.22581
Average T:0.26882 C:0.24578 A:0.26421 G:0.22120
#30: C39
position 1: T:0.18433 C:0.21198 A:0.31336 G:0.29032
position 2: T:0.35023 C:0.25346 A:0.24885 G:0.14747
position 3: T:0.27189 C:0.27189 A:0.22581 G:0.23041
Average T:0.26882 C:0.24578 A:0.26267 G:0.22273
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 112 | Ser S TCT 91 | Tyr Y TAT 149 | Cys C TGT 0
TTC 128 | TCC 59 | TAC 91 | TGC 30
Leu L TTA 58 | TCA 240 | *** * TAA 0 | *** * TGA 0
TTG 0 | TCG 0 | TAG 0 | Trp W TGG 240
------------------------------------------------------------------------------
Leu L CTT 150 | Pro P CCT 61 | His H CAT 54 | Arg R CGT 87
CTC 181 | CCC 61 | CAC 96 | CGC 63
CTA 62 | CCA 178 | Gln Q CAA 99 | CGA 0
CTG 179 | CCG 31 | CAG 81 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 359 | Thr T ACT 65 | Asn N AAT 89 | Ser S AGT 60
ATC 119 | ACC 235 | AAC 91 | AGC 0
ATA 212 | ACA 60 | Lys K AAA 90 | Arg R AGA 120
Met M ATG 210 | ACG 30 | AAG 270 | AGG 30
------------------------------------------------------------------------------
Val V GTT 167 | Ala A GCT 152 | Asp D GAT 92 | Gly G GGT 90
GTC 104 | GCC 146 | GAC 238 | GGC 120
GTA 32 | GCA 181 | Glu E GAA 91 | GGA 58
GTG 208 | GCG 59 | GAG 89 | GGG 62
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.18402 C:0.21244 A:0.31336 G:0.29017
position 2: T:0.35038 C:0.25330 A:0.24885 G:0.14747
position 3: T:0.27312 C:0.27066 A:0.22750 G:0.22873
Average T:0.26918 C:0.24547 A:0.26324 G:0.22212
Model 1: NearlyNeutral (2 categories)
TREE # 1: (9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
lnL(ntime: 37 np: 40): -1061.886959 +0.000000
31..9 31..5 31..32 32..33 33..34 34..27 34..8 34..25 34..19 34..35 35..17 35..18 34..10 34..36 36..13 36..11 36..23 36..28 36..3 36..2 34..16 34..22 34..30 34..12 34..20 34..14 34..1 34..7 33..4 32..37 37..26 37..21 32..38 38..24 38..29 38..6 32..15
0.000004 0.000004 0.014829 0.004856 0.014863 0.000004 0.000004 0.004872 0.004872 0.004872 0.000004 0.000004 0.000004 0.004871 0.004872 0.000004 0.000004 0.004872 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004931 0.025091 0.004618 0.015194 0.004872 0.009783 0.000004 0.009782 0.004903 7.993869 0.981647 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.143031
(9: 0.000004, 5: 0.000004, (((27: 0.000004, 8: 0.000004, 25: 0.004872, 19: 0.004872, (17: 0.000004, 18: 0.000004): 0.004872, 10: 0.000004, (13: 0.004872, 11: 0.000004, 23: 0.000004, 28: 0.004872, 3: 0.000004, 2: 0.000004): 0.004871, 16: 0.000004, 22: 0.000004, 30: 0.000004, 12: 0.000004, 20: 0.000004, 14: 0.000004, 1: 0.000004, 7: 0.000004): 0.014863, 4: 0.004931): 0.004856, (26: 0.004618, 21: 0.015194): 0.025091, (24: 0.009783, 29: 0.000004, 6: 0.009782): 0.004872, 15: 0.004903): 0.014829);
(C10: 0.000004, C2: 0.000004, (((C11: 0.000004, C13: 0.000004, C14: 0.004872, C15: 0.004872, (C16: 0.000004, C56: 0.000004): 0.004872, C17: 0.000004, (C21: 0.004872, C36: 0.000004, C38: 0.000004, C51: 0.004872, C58: 0.000004, C59: 0.000004): 0.004871, C27: 0.000004, C31: 0.000004, C39: 0.000004, C44: 0.000004, C47: 0.000004, C48: 0.000004, C52: 0.000004, C53: 0.000004): 0.014863, C4: 0.004931): 0.004856, (C22: 0.004618, C37: 0.015194): 0.025091, (C23: 0.009783, C3: 0.000004, C7: 0.009782): 0.004872, C8: 0.004903): 0.014829);
Detailed output identifying parameters
kappa (ts/tv) = 7.99387
MLEs of dN/dS (w) for site classes (K=2)
p: 0.98165 0.01835
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..9 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
31..5 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
31..32 0.015 444.9 206.1 0.0184 0.0003 0.0150 0.1 3.1
32..33 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
33..34 0.015 444.9 206.1 0.0184 0.0003 0.0151 0.1 3.1
34..27 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..8 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..25 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
34..19 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
34..35 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
35..17 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
35..18 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..10 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..36 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
36..13 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
36..11 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
36..23 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
36..28 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
36..3 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
36..2 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..16 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..22 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..30 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..12 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..20 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..14 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..1 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
34..7 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
33..4 0.005 444.9 206.1 0.0184 0.0001 0.0050 0.0 1.0
32..37 0.025 444.9 206.1 0.0184 0.0005 0.0254 0.2 5.2
37..26 0.005 444.9 206.1 0.0184 0.0001 0.0047 0.0 1.0
37..21 0.015 444.9 206.1 0.0184 0.0003 0.0154 0.1 3.2
32..38 0.005 444.9 206.1 0.0184 0.0001 0.0049 0.0 1.0
38..24 0.010 444.9 206.1 0.0184 0.0002 0.0099 0.1 2.0
38..29 0.000 444.9 206.1 0.0184 0.0000 0.0000 0.0 0.0
38..6 0.010 444.9 206.1 0.0184 0.0002 0.0099 0.1 2.0
32..15 0.005 444.9 206.1 0.0184 0.0001 0.0050 0.0 1.0
Time used: 1:20
Model 2: PositiveSelection (3 categories)
TREE # 1: (9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
lnL(ntime: 37 np: 42): -1061.140499 +0.000000
31..9 31..5 31..32 32..33 33..34 34..27 34..8 34..25 34..19 34..35 35..17 35..18 34..10 34..36 36..13 36..11 36..23 36..28 36..3 36..2 34..16 34..22 34..30 34..12 34..20 34..14 34..1 34..7 33..4 32..37 37..26 37..21 32..38 38..24 38..29 38..6 32..15
0.000004 0.000004 0.014732 0.004817 0.014765 0.000004 0.000004 0.004832 0.004832 0.004832 0.000004 0.000004 0.000004 0.004832 0.004832 0.000004 0.000004 0.004832 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004890 0.025078 0.004715 0.014941 0.004832 0.009712 0.000004 0.009711 0.004956 7.962185 0.993314 0.000000 0.000001 4.470860
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.142222
(9: 0.000004, 5: 0.000004, (((27: 0.000004, 8: 0.000004, 25: 0.004832, 19: 0.004832, (17: 0.000004, 18: 0.000004): 0.004832, 10: 0.000004, (13: 0.004832, 11: 0.000004, 23: 0.000004, 28: 0.004832, 3: 0.000004, 2: 0.000004): 0.004832, 16: 0.000004, 22: 0.000004, 30: 0.000004, 12: 0.000004, 20: 0.000004, 14: 0.000004, 1: 0.000004, 7: 0.000004): 0.014765, 4: 0.004890): 0.004817, (26: 0.004715, 21: 0.014941): 0.025078, (24: 0.009712, 29: 0.000004, 6: 0.009711): 0.004832, 15: 0.004956): 0.014732);
(C10: 0.000004, C2: 0.000004, (((C11: 0.000004, C13: 0.000004, C14: 0.004832, C15: 0.004832, (C16: 0.000004, C56: 0.000004): 0.004832, C17: 0.000004, (C21: 0.004832, C36: 0.000004, C38: 0.000004, C51: 0.004832, C58: 0.000004, C59: 0.000004): 0.004832, C27: 0.000004, C31: 0.000004, C39: 0.000004, C44: 0.000004, C47: 0.000004, C48: 0.000004, C52: 0.000004, C53: 0.000004): 0.014765, C4: 0.004890): 0.004817, (C22: 0.004715, C37: 0.014941): 0.025078, (C23: 0.009712, C3: 0.000004, C7: 0.009711): 0.004832, C8: 0.004956): 0.014732);
Detailed output identifying parameters
kappa (ts/tv) = 7.96218
MLEs of dN/dS (w) for site classes (K=3)
p: 0.99331 0.00000 0.00669
w: 0.00000 1.00000 4.47086
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..9 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
31..5 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
31..32 0.015 445.0 206.0 0.0299 0.0004 0.0146 0.2 3.0
32..33 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
33..34 0.015 445.0 206.0 0.0299 0.0004 0.0146 0.2 3.0
34..27 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..8 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..25 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
34..19 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
34..35 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
35..17 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
35..18 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..10 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..36 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
36..13 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
36..11 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
36..23 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
36..28 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
36..3 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
36..2 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..16 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..22 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..30 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..12 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..20 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..14 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..1 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..7 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
33..4 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
32..37 0.025 445.0 206.0 0.0299 0.0007 0.0248 0.3 5.1
37..26 0.005 445.0 206.0 0.0299 0.0001 0.0047 0.1 1.0
37..21 0.015 445.0 206.0 0.0299 0.0004 0.0148 0.2 3.0
32..38 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
38..24 0.010 445.0 206.0 0.0299 0.0003 0.0096 0.1 2.0
38..29 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
38..6 0.010 445.0 206.0 0.0299 0.0003 0.0096 0.1 2.0
32..15 0.005 445.0 206.0 0.0299 0.0001 0.0049 0.1 1.0
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
83 A 1.000** 4.471
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
83 A 0.730 2.590 +- 2.065
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 0.997 0.003 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.439 0.220 0.121 0.073 0.048 0.033 0.024 0.018 0.014 0.011
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.009
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.015 0.975
sum of density on p0-p1 = 1.000000
Time used: 4:06
Model 7: beta (10 categories)
TREE # 1: (9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
check convergence..
lnL(ntime: 37 np: 40): -1063.157723 +0.000000
31..9 31..5 31..32 32..33 33..34 34..27 34..8 34..25 34..19 34..35 35..17 35..18 34..10 34..36 36..13 36..11 36..23 36..28 36..3 36..2 34..16 34..22 34..30 34..12 34..20 34..14 34..1 34..7 33..4 32..37 37..26 37..21 32..38 38..24 38..29 38..6 32..15
0.000004 0.000004 0.014858 0.004869 0.014892 0.000004 0.000004 0.004885 0.004885 0.004885 0.000004 0.000004 0.000004 0.004885 0.004885 0.000004 0.000004 0.004885 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004943 0.025100 0.004613 0.015240 0.004885 0.009807 0.000004 0.009806 0.004898 8.173766 0.007706 0.159182
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.143299
(9: 0.000004, 5: 0.000004, (((27: 0.000004, 8: 0.000004, 25: 0.004885, 19: 0.004885, (17: 0.000004, 18: 0.000004): 0.004885, 10: 0.000004, (13: 0.004885, 11: 0.000004, 23: 0.000004, 28: 0.004885, 3: 0.000004, 2: 0.000004): 0.004885, 16: 0.000004, 22: 0.000004, 30: 0.000004, 12: 0.000004, 20: 0.000004, 14: 0.000004, 1: 0.000004, 7: 0.000004): 0.014892, 4: 0.004943): 0.004869, (26: 0.004613, 21: 0.015240): 0.025100, (24: 0.009807, 29: 0.000004, 6: 0.009806): 0.004885, 15: 0.004898): 0.014858);
(C10: 0.000004, C2: 0.000004, (((C11: 0.000004, C13: 0.000004, C14: 0.004885, C15: 0.004885, (C16: 0.000004, C56: 0.000004): 0.004885, C17: 0.000004, (C21: 0.004885, C36: 0.000004, C38: 0.000004, C51: 0.004885, C58: 0.000004, C59: 0.000004): 0.004885, C27: 0.000004, C31: 0.000004, C39: 0.000004, C44: 0.000004, C47: 0.000004, C48: 0.000004, C52: 0.000004, C53: 0.000004): 0.014892, C4: 0.004943): 0.004869, (C22: 0.004613, C37: 0.015240): 0.025100, (C23: 0.009807, C3: 0.000004, C7: 0.009806): 0.004885, C8: 0.004898): 0.014858);
Detailed output identifying parameters
kappa (ts/tv) = 8.17377
Parameters in M7 (beta):
p = 0.00771 q = 0.15918
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.33593
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..9 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
31..5 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
31..32 0.015 444.7 206.3 0.0336 0.0005 0.0146 0.2 3.0
32..33 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
33..34 0.015 444.7 206.3 0.0336 0.0005 0.0146 0.2 3.0
34..27 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..8 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..25 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
34..19 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
34..35 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
35..17 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
35..18 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..10 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..36 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
36..13 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
36..11 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
36..23 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
36..28 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
36..3 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
36..2 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..16 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..22 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..30 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..12 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..20 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..14 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..1 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
34..7 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
33..4 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
32..37 0.025 444.7 206.3 0.0336 0.0008 0.0246 0.4 5.1
37..26 0.005 444.7 206.3 0.0336 0.0002 0.0045 0.1 0.9
37..21 0.015 444.7 206.3 0.0336 0.0005 0.0149 0.2 3.1
32..38 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
38..24 0.010 444.7 206.3 0.0336 0.0003 0.0096 0.1 2.0
38..29 0.000 444.7 206.3 0.0336 0.0000 0.0000 0.0 0.0
38..6 0.010 444.7 206.3 0.0336 0.0003 0.0096 0.1 2.0
32..15 0.005 444.7 206.3 0.0336 0.0002 0.0048 0.1 1.0
Time used: 1:55:28
Model 8: beta&w>1 (11 categories)
TREE # 1: (9, 5, (((27, 8, 25, 19, (17, 18), 10, (13, 11, 23, 28, 3, 2), 16, 22, 30, 12, 20, 14, 1, 7), 4), (26, 21), (24, 29, 6), 15)); MP score: 29
check convergence..
lnL(ntime: 37 np: 42): -1061.140474 +0.000000
31..9 31..5 31..32 32..33 33..34 34..27 34..8 34..25 34..19 34..35 35..17 35..18 34..10 34..36 36..13 36..11 36..23 36..28 36..3 36..2 34..16 34..22 34..30 34..12 34..20 34..14 34..1 34..7 33..4 32..37 37..26 37..21 32..38 38..24 38..29 38..6 32..15
0.000004 0.000004 0.014732 0.004817 0.014765 0.000004 0.000004 0.004832 0.004833 0.004833 0.000004 0.000004 0.000004 0.004832 0.004832 0.000004 0.000004 0.004832 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004890 0.025078 0.004716 0.014941 0.004833 0.009712 0.000004 0.009711 0.004956 7.961674 0.993314 0.005000 3.820589 4.470740
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.142225
(9: 0.000004, 5: 0.000004, (((27: 0.000004, 8: 0.000004, 25: 0.004832, 19: 0.004833, (17: 0.000004, 18: 0.000004): 0.004833, 10: 0.000004, (13: 0.004832, 11: 0.000004, 23: 0.000004, 28: 0.004832, 3: 0.000004, 2: 0.000004): 0.004832, 16: 0.000004, 22: 0.000004, 30: 0.000004, 12: 0.000004, 20: 0.000004, 14: 0.000004, 1: 0.000004, 7: 0.000004): 0.014765, 4: 0.004890): 0.004817, (26: 0.004716, 21: 0.014941): 0.025078, (24: 0.009712, 29: 0.000004, 6: 0.009711): 0.004833, 15: 0.004956): 0.014732);
(C10: 0.000004, C2: 0.000004, (((C11: 0.000004, C13: 0.000004, C14: 0.004832, C15: 0.004833, (C16: 0.000004, C56: 0.000004): 0.004833, C17: 0.000004, (C21: 0.004832, C36: 0.000004, C38: 0.000004, C51: 0.004832, C58: 0.000004, C59: 0.000004): 0.004832, C27: 0.000004, C31: 0.000004, C39: 0.000004, C44: 0.000004, C47: 0.000004, C48: 0.000004, C52: 0.000004, C53: 0.000004): 0.014765, C4: 0.004890): 0.004817, (C22: 0.004716, C37: 0.014941): 0.025078, (C23: 0.009712, C3: 0.000004, C7: 0.009711): 0.004833, C8: 0.004956): 0.014732);
Detailed output identifying parameters
kappa (ts/tv) = 7.96167
Parameters in M8 (beta&w>1):
p0 = 0.99331 p = 0.00500 q = 3.82059
(p1 = 0.00669) w = 4.47074
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09933 0.09933 0.09933 0.09933 0.09933 0.09933 0.09933 0.09933 0.09933 0.09933 0.00669
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00001 4.47074
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..9 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
31..5 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
31..32 0.015 445.0 206.0 0.0299 0.0004 0.0146 0.2 3.0
32..33 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
33..34 0.015 445.0 206.0 0.0299 0.0004 0.0146 0.2 3.0
34..27 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..8 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..25 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
34..19 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
34..35 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
35..17 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
35..18 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..10 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..36 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
36..13 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
36..11 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
36..23 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
36..28 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
36..3 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
36..2 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..16 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..22 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..30 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..12 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..20 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..14 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..1 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
34..7 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
33..4 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
32..37 0.025 445.0 206.0 0.0299 0.0007 0.0248 0.3 5.1
37..26 0.005 445.0 206.0 0.0299 0.0001 0.0047 0.1 1.0
37..21 0.015 445.0 206.0 0.0299 0.0004 0.0148 0.2 3.0
32..38 0.005 445.0 206.0 0.0299 0.0001 0.0048 0.1 1.0
38..24 0.010 445.0 206.0 0.0299 0.0003 0.0096 0.1 2.0
38..29 0.000 445.0 206.0 0.0299 0.0000 0.0000 0.0 0.0
38..6 0.010 445.0 206.0 0.0299 0.0003 0.0096 0.1 2.0
32..15 0.005 445.0 206.0 0.0299 0.0001 0.0049 0.1 1.0
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
83 A 1.000** 4.471
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
83 A 0.794 1.877 +- 1.357
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.999
p : 0.985 0.015 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.001 0.010 0.032 0.069 0.121 0.183 0.254 0.330
ws: 0.657 0.199 0.073 0.032 0.016 0.009 0.006 0.004 0.003 0.002
Time used: 2:07:05
Model 1: NearlyNeutral -1061.886959 Model 2: PositiveSelection -1061.140499 Model 7: beta -1063.157723 Model 8: beta&w>1 -1061.140474 Model 2 vs 1 1.492920 Model 8 vs 7 4.034498
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken. # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
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Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
