Table II.

Models and configurations (including true BMD, ξ₁₀, at BMR = 0.10) for the Monte Carlo evaluations.

	Configuration:	A	B	C	D	E	F
Constraint:	R(0) =	0.01	0.01	0.10	0.05	0.30	0.10
	$\text{R}(\frac{1}{2})=$	0.04	0.07	0.17	0.30	0.52	0.50
	R(1) =	0.10	0.20	0.30	0.50	0.75	0.90
Model	Parameters
Quantal-linear (2A)	β0	0.0101	0.0101	0.1054	0.0513	0.3567	0.1054
	β1	0.0953	0.2131	0.2513	0.6419	1.0296	2.1972
	ξ10	1.1056	0.4944	0.4193	0.1641	0.1023	0.0480
Quantal-quadratic (2B)	γ0	0.0100	0.0100	0.1000	0.0500	0.3000	0.1000
	β1	0.0953	0.2131	0.2513	0.6419	1.0296	2.1972
	ξ10	1.0514	0.7032	0.6475	0.4052	0.3199	0.2190
Logistic (2C)	β0	−4.5951	−4.5951	−2.1972	−2.9444	−0.8473	−2.1972
	β1	2.3979	3.2088	1.3499	2.9444	1.9459	4.3944
	ξ10	1.0401	0.7773	0.5535	0.3974	0.1619	0.1700
Probit (2D)	β0	−2.3263	−2.3263	−1.2816	−1.6449	−0.5244	−1.2816
	β1	1.0448	1.4847	0.7572	1.6449	1.1989	2.5631
	ξ10	1.0476	0.7372	0.5331	0.3567	0.1606	0.1575
Two-stage (3A)	β0	0.0101	0.0101	0.1054	0.0513	0.3567	0.1054
	β1	0.0278	0.0370	0.0726	0.5797	0.4796	0.1539
	β2	0.0675	0.1761	0.1788	0.0622	0.5501	2.0433
	ξ10	1.0602	0.6756	0.5911	0.1783	0.1818	0.1925
Log-logistic (3B)	γ0	0.0100	0.0100	0.1000	0.0500	0.3000	0.1000
	β0	−2.3026	−1.4376	−1.2528	−0.1054	0.5878	2.0794
	β1	1.6781	1.8802	1.7603	1.3333	1.9735	3.3219
	ξ10	1.0648	0.6676	0.5848	0.2083	0.2439	0.2760
Log-probit (3C)	γ0	0.0100	0.0100	0.1000	0.0500	0.3000	0.1000
	β0	−1.3352	−0.8708	−0.7647	−0.0660	0.3661	1.2206
	β1	0.7808	0.9794	0.9456	0.8189	1.2261	1.9626
	ξ10	1.0711	0.6575	0.5789	0.2267	0.2608	0.2794
Weibull (3D)	γ0	0.0100	0.0100	0.1000	0.0500	0.3000	0.1000
	β0	−2.3506	−1.5460	−1.3811	−0.4434	0.0292	0.7872
	β1	1.6310	1.7691	1.6341	1.0716	1.4483	1.9023
	ξ10	1.0634	0.6716	0.5874	0.1852	0.2072	0.2025