Table 5.

Estimates of parameters and their standard deviations (in parentheses) based on the MCMC algorithm for the data simulated under scenario 1.

	ϕ	θ	r	pA	pB	DA	DB	Dab	Da/b	DAb	DaB	DAB
DESIGN 1
True	0.87	0.72	0.2	0.5	0.6	0.05	0.05	0.1	0.01	0.01	0.01	0.01
Estimate	0.871	0.724	0.192	0.500	0.599	0.050	0.099	0.011	0.010	0.010	0.010	0.010
SD	(0.036)	(0.021)	(0.049)	(0.009)	(0.008)	(0.010)	(0.007)	(0.003)	(0.009)	(0.003)	(0.003)	(0.002)
DESIGN 2
True	0.12	0.28	0.2	0.5	0.6	0.05	0.05	0.01	0.1	0.01	0.01	0.01
Estimate	0.122	0.276	0.196	0.500	0.600	0.050	0.050	0.010	0.100	0.010	0.010	0.010
SD	(0.048)	(0.021)	(0.059)	(0.009)	(0.011)	(0.007)	(0.008)	(0.003)	(0.007)	(0.003)	(0.003)	(0.003)
DESIGN 3
True	0.5	0.5	0.2	0.5	0.6	0.05	0.05	0.02	0.02	0.03	0.03	0.01
Estimate	0.496	0.501	0.374	0.500	0.600	0.050	0.050	0.020	0.021	0.030	0.030	0.010
SD	(0.053)	(0.022)	(7.368)	(0.012)	(0.012)	(0.008)	(0.008)	(0.003)	(0.010)	(0.003)	(0.003)	(0.002)