Table 2.

Fits for each model. (Constant-δ: equation (2.1); single-locus multiplicative, h=0: equation (2.2); single-locus multiplicative, h=0.02: equation (2.3); multi-locus: equation (2.4). Parameter estimates include their confidence intervals, and are δ, fitness reduction of inbred progeny; U, per-generation genomic mutation rate; S_t, threshold selfing rate. The p values are for a bootstrap comparison of the low-Φ and high-Φ parameter estimates, while offset indicates whether or not a non-biasing offset was used to improve model fit. For further details see the text.)

model	parameter	low-Φ	high-Φ	p	offset?
constant-δ	δ	0.83 [0.74, 0.93]	1 [1, 1]	<0.001	no
single-locus, h=0	U	1.63 [0.63, 4.0]	3.14 [0.99, 4.7]	0.007	yes
single-locus, h=0.02	U	1.82 [0.84, 4.3]	3.48 [1.5, 5.3]	0.007	yes
multi-locus	St	0.77 [0.48, 0.84]	0.85 [0.61, 0.85]	0.2	no
	U, h=0	1.3 [0.52, 1.7]	1.7 [0.78, 1.7]
	U, h=0.02	1.5 [0.66, 1.9]	2.0 [0.94, 2.0]