Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data

Table 6

The corresponding bias and MSEs for different settings of RML approach when the true distribution is SEV.

RML approach
			bias	MSE	bias	MSE	correct(%)
10	8	9	-0.0461	0.0865	-0.2969	0.1589	0.5938
	7	8	-0.0679	0.0798	-0.2692	0.1376	0.5587
	7	9	-0.0520	0.1779	-0.2258	0.1977	0.5587
	6	7	-0.0897	0.0814	-0.2702	0.1364	0.5445
	6	8	-0.0866	0.1746	-0.2454	0.2047	0.5445
	6	9	-0.0682	0.3140	-0.1716	0.3048	0.5445
	5	6	-0.1010	0.0935	-0.2780	0.1516	0.5242
	5	7	-0.1234	0.2004	-0.2715	0.2314	0.5242
	5	8	-0.1228	0.3226	-0.2119	0.3214	0.5242
	5	9	-0.1070	0.5253	-0.1835	0.5058	0.5242
20	16	18	-0.0089	0.0544	-0.1626	0.0713	0.7451
	14	16	-0.0222	0.0422	-0.1592	0.0618	0.7003
	14	18	-0.0012	0.1000	-0.0764	0.0988	0.7003
	12	14	-0.0272	0.0398	-0.1603	0.0592	0.6548
	12	16	-0.0183	0.0883	-0.0846	0.0882	0.6548
	12	18	0.0226	0.1753	-0.0332	0.1670	0.6548
	10	12	-0.0371	0.0447	-0.1692	0.0658	0.6058
	10	14	-0.0277	0.0946	-0.0895	0.0960	0.6058
	10	16	0.0028	0.1753	-0.0415	0.1707	0.6058
	10	18	0.0512	0.3056	0.0052	0.2909	0.6058
30	24	27	0.1143	0.0639	-0.0454	0.0299	0.9188
	21	24	0.0991	0.0541	-0.0495	0.0235	0.9066
	21	27	0.1171	0.0717	0.0121	0.0423	0.9066
	18	21	0.0776	0.0471	-0.0580	0.0223	0.9046
	18	24	0.0812	0.0569	-0.0110	0.0351	0.9046
	18	27	0.0978	0.0742	0.0241	0.0562	0.9046
	15	18	0.0360	0.0465	-0.0783	0.0281	0.8915
	15	21	0.0222	0.0569	-0.0453	0.0423	0.8915
	15	24	0.0181	0.0730	-0.0342	0.0626	0.8915
	15	27	0.0242	0.1017	-0.0200	0.0933	0.8915
40	32	36	0.0930	0.0472	-0.0282	0.0226	0.9441
	28	32	0.0869	0.0402	-0.0292	0.0167	0.9393
	28	36	0.0994	0.0542	0.0174	0.0325	0.9393
	24	28	0.0809	0.0391	-0.0312	0.0147	0.9346
	24	32	0.0896	0.0454	0.0096	0.0250	0.9346
	24	36	0.1109	0.0599	0.0478	0.0413	0.9346
	20	24	0.0760	0.0406	-0.0344	0.0161	0.9227
	20	28	0.0804	0.0423	0.0021	0.0239	0.9227
	20	32	0.0928	0.0485	0.0347	0.0322	0.9227
	20	36	0.1108	0.0631	0.0605	0.0476	0.9227
50	40	45	0.0815	0.0378	-0.0157	0.0185	0.9673
	35	40	0.0735	0.0317	-0.0201	0.0128	0.9593
	35	45	0.0853	0.0408	0.0172	0.0262	0.9593
	30	35	0.0679	0.0311	-0.0230	0.0117	0.9557
	30	40	0.0771	0.0356	0.0139	0.0202	0.9557
	30	45	0.0929	0.0465	0.0415	0.0332	0.9557
	25	30	0.0629	0.0317	-0.0248	0.0126	0.9475
	25	35	0.0707	0.0343	0.0100	0.0190	0.9475
	25	40	0.0789	0.0389	0.0315	0.0269	0.9475
	25	45	0.0988	0.0506	0.0593	0.0391	0.9475
60	48	54	0.0718	0.0302	-0.0118	0.0154	0.9808
	42	48	0.0649	0.0266	-0.0152	0.0109	0.9731
	42	54	0.0774	0.0353	0.0201	0.0226	0.9731
	36	42	0.0618	0.0256	-0.0149	0.0098	0.9707
	36	48	0.0695	0.0285	0.0155	0.0169	0.9707
	36	54	0.0845	0.0384	0.0411	0.0281	0.9707
	30	36	0.0542	0.0256	-0.0183	0.0102	0.9633
	30	42	0.0606	0.0279	0.0099	0.0160	0.9633
	30	48	0.0727	0.0307	0.0344	0.0221	0.9633
	30	54	0.0855	0.0420	0.0518	0.0329	0.9633