γ^{a} | ρ^{a} | g(γ)^{b} | g(ρ)^{b} | B(γ)^{c} | B(ρ)^{c} | E()^{d} | E()^{d} | V(γ)^{e} | V(ρ)^{e} |
---|---|---|---|---|---|---|---|---|---|

Hudson's composite-likelihood method | |||||||||

12 | 12 | 0.172 | 0.915 | 0.618 | 0.535 | 14.66 | 12.28 | 1.616 | 0.459 |

16 | 8 | 0.206 | 0.884 | 0.592 | 0.553 | 17.35 | 8.24 | 1.261 | 0.570 |

Summary statistics method | |||||||||

12 | 12 | 0.328 | 0.895 | 0.484 | 0.511 | 18.05 | 12.62 | 1.499 | 0.505 |

16 | 8 | 0.404 | 0.857 | 0.478 | 0.528 | 20.28 | 8.50 | 1.083 | 0.595 |

↵

*a*γ and ρ denote the true values of the gene-conversion and crossing-over rates under which 1000 data sets were simulated.↵

*b**g*(γ) and*g*(ρ) denote the fraction of the data sets for which the estimates of gene conversion () and crossing over () lie within a factor of 2 of the true values (*i.e.,*γ and ρ), respectively.↵

*c**B*(γ) and*B*(ρ) denote the fraction of times the estimates of gene conversion and crossing over are lower than the true values, given that they are not equal to the true values.↵

*d**E*() and*E*() denote the mean of the estimates of gene-conversion and crossing-over rates.↵

*e**V*(γ) and*V*(ρ) denote the root mean square relative error for the estimates.