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. 2004 Jul 12;75(3):386–397. doi: 10.1086/423451

Table 2.

Performance of Hudson’s Pairwise Composite Likelihood Method

A. Data Simulated with Uniform Crossing Over and Uniform Conversion
Rate
ρ γ Inline graphica g(γ)b B(γ)c Inline graphica g(ρ)b B(ρ)c
20 40 38.02 .25 .64 20.78 .80 .55
40 40 33.82 .21 .71 44.22 .84 .49
60 40 42.10 .21 .68 64.10 .85 .48
30 20 29.82 .13 .66 31.84 .82 .53
30 40 38.08 .25 .67 31.63 .84 .51
30 60 44.82 .28 .72 33.07 .81 .49
B. Data Simulated with Nonuniform Crossing Over and Uniform Conversion
Rate
ρ γ Inline graphica g(γ)b B(γ)c Inline graphica g(ρ)b B(ρ)c
20 40 29.01 .26 .73 21.05 .81 .54
40 40 23.06 .14 .81 40.71 .83 .56
60 40 18.43 .17 .85 58.60 .90 .58
30 20 14.95 .12 .78 29.17 .83 .59
30 40 22.55 .21 .80 30.85 .82 .54
30 60 36.45 .28 .77 30.94 .83 .55
a

Inline graphic and Inline graphic denote the averages of the MLEs of gene-conversion (Inline graphic) and crossing-over (Inline graphic) rates for the 500 data sets simulated at the corresponding crossing-over (ρ) and gene-conversion (γ) rate.

b

g(γ) and g(ρ) denote the fraction of times Inline graphic and Inline graphic for a simulated data set is within a factor of 2 of the true γ and ρ, respectively (Wall 2000).

c

B(γ) and B(ρ)denote the fraction of times Inline graphic and Inline graphic are less than their true values.