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. 2013 Oct 24;9(10):e1003905. doi: 10.1371/journal.pgen.1003905

Table 1. Inferred parameters of human demography under model B1 and B2 defined in Figure 4B.

Model B1 Model B2
Point estimation 95% CIa Point estimation 95% CIa
Parameters Lower bound Upper bound Lower bound Upper bound
NANC 13405 12075 15923 12386 10986 14875
NAFR 27519 23246 38250 25536 22054 35939
NASW 38287 10470 41812 9219 9906 44026
NCEU 27070 3673 44075 38623 8842 43883
NLWK 26793 15395 44540 10711 13288 41103
NYRI 6635 5546 12003 22835 14809 44010
NEUR 16689 12818 40709 14530 11792 25615
IBEUR b 0.432 0.395 0.472 0.418 0.375 0.450
NNC 164535 41032 401691 56697 33872 414434
IBNC b 0.026 0.019 0.071 0.027 0.011 0.040
2NmC 2.08 0.03 13.56 0.05 0.04 26.57
2NmY 8.66 0.04 19.37 0.52 0.04 22.83
2NmL 10.93 0.03 29.40 5.18 0.03 35.68
TNC 793 567 1814 797 509 1981
TBOT 10059 8526 12932 9971 8900 12834
aE 0.16 0.15 0.18 0.17 0.16 0.18
NEA 228516 95844 451516
TEA 2230 1479 3386
aEA 0.17 0.08 0.19
a

Parametric bootstrap estimates obtained by parameter estimation from data sets simulated according to CML estimates shown in the point estimation column.

b

Bottleneck intensity is equal to bottleneck duration (100 generations) divided by the bottleneck population size (NBEUR or NBNC).

Conditions for fastsimcoal2 point estimations were: 50–250,000 simulations per likelihood estimation (-n50000, -N250000), 30 ECM cycles (-L30), 50 runs per data set. Conditions for fastsimcoal2 CI estimations were: 100,000 simulations per likelihood estimation (-N100000), 30 ECM cycles (-L30), 10 runs per data set.