Table 1.

Bias (×10⁻²), RMS (×10⁻²), SE (×10⁻²), SD–SE (×10⁻²), and RS of all 12 parameters under Ω₁ and Ω₂. BIAS denotes the bias of the mean of the ILSE estimates; RMS denotes the root-mean-square error; SE denotes the mean of the standard deviation estimates; SD–SE denotes the standard deviation of the standard deviation estimates; RS denotes the ratio of RMS over SD. Two different sample sizes {20, 80} and 500 simulated datasets were used for each case

	n = 20					n = 80
	BIAS	RMS	SE	SD–SE	RS	BIAS	RMS	SE	SD–SE	RS
Ω1
β1	2.60	6.10	6.73	2.20	1.10	0.58	3.59	3.37	0.68	0.94
β2	1.78	6.10	6.61	1.72	1.08	0.06	3.90	3.61	0.55	0.92
β3	1.88	7.06	6.96	1.32	0.98	0.69	3.91	3.56	0.35	0.91
β4	1.15	6.86	6.89	1.30	1.01	0.35	3.83	3.51	0.33	0.92
β5	3.83	15.34	17.24	4.22	1.12	1.08	8.35	8.58	1.20	1.02
β6	2.83	15.07	16.97	3.76	1.12	0.54	8.45	8.46	0.95	1.01
β7	1.43	8.75	8.07	1.42	0.92	−0.37	4.19	4.10	0.39	0.98
β8	0.48	8.32	7.98	1.40	0.96	−0.44	4.12	4.06	0.38	0.98
β9	5.14	29.38	32.06	7.57	1.09	1.6	14.84	16.07	2.23	1.08
β10	3.97	28.88	31.59	7.14	1.09	1.05	14.84	15.85	1.77	1.07
β11	3.62	20.32	19.91	3.87	0.98	1.00	10.63	10.15	0.85	0.96
β12	2.69	20.11	19.68	3.83	0.98	0.53	10.48	10.03	0.84	0.96
Ω2
β1	2.76	6.87	6.73	2.21	0.97	0.59	4.00	3.7	0.57	0.93
β2	1.81	6.72	6.61	1.63	0.98	0.46	3.97	3.7	0.53	0.93
β3	1.96	7.74	7.23	1.27	0.93	0.23	3.72	3.54	0.36	0.95
β4	1.24	7.43	7.15	1.26	0.96	0.03	3.67	3.5	0.36	0.95
β5	3.08	11.63	12.61	2.85	1.08	1.02	6.87	6.33	0.73	0.92
β6	1.87	11.78	12.41	2.31	1.05	0.86	6.9	6.3	0.7	0.91
β7	1.56	8.44	8.26	1.46	0.98	0.11	4.5	4.2	0.34	0.93
β8	0.62	8.09	8.17	1.44	1.01	0.04	4.5	4.1	0.34	0.91
β9	2.75	18.90	19.75	4.14	1.04	1.06	10.74	9.93	1.09	0.93
β10	1.33	18.84	19.46	3.68	1.03	0.86	10.79	9.82	0.93	0.91
β11	3.87	16.68	15.49	2.54	0.93	−0.58	7.45	7.44	0.66	0.99
β12	2.88	16.46	15.31	2.51	0.94	−0.91	7.22	7.37	0.65	1.02