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Table 3 Summary of the estimated nuisance parameter γ under the null hypothesis H 0 : γ =0

From: Hypothesis testing of meiotic recombination rates from population genetic data

γ n =20    n =35   
  a b b a b b
0.5 0.65(0.26) 87 100 0.71(0.22) 91 100
1.0 1.04(0.37) 94 100 1.09(0.31) 99 100
2.5 2.00(0.58) 89 100 2.22(0.47) 99 100
5.0 3.33(0.75) 90 100 3.72(0.64) 97 100
10.0 7.52(1.40) 75 100 8.19(1.01) 88 100
  1. These estimates, computed as , are used to draw bootstrap replications (line 4 in Algorithm 1) and then to estimate the bootstrap p-values (as in Figure 3 and Additional file 2: Figure S2).
  2. aThe mean and SD (in parenthesis) of the estimates of γ .
  3. b#: the number of data sets with within a factor of k from the true γ .