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

Table 3

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

RML approach
			bias	MSE	bias	MSE	Correct (%)
10	8	9	-0.1796	0.1372	-0.3430	0.2140	0.6430
	7	8	-0.1580	0.1001	-0.2832	0.1509	0.6263
	7	9	-0.2459	0.2408	-0.3732	0.3023	0.6263
	6	7	-0.1466	0.0772	-0.2560	0.1170	0.5959
	6	8	-0.3316	0.1836	-0.2226	0.2313	0.5959
	6	9	-0.3150	0.3745	-0.3867	0.4098	0.5959
	5	6	-0.1399	0.0774	-0.2448	0.1142	0.5908
	5	7	-0.2206	0.1701	-0.3164	0.2098	0.5908
	5	8	-0.3144	0.3048	-0.3709	0.3303	0.5908
	5	9	-0.4189	0.5512	-0.4695	0.5794	0.5908
20	16	18	-0.1301	0.0875	-0.2542	0.1275	0.7195
	14	16	-0.1087	0.0556	-0.2093	0.0831	0.6955
	14	18	-0.1741	0.1534	-0.2281	0.1702	0.6955
	12	14	-0.0944	0.0443	-0.1850	0.0674	0.6657
	12	16	-0.1597	0.1112	-0.2008	0.1229	0.6657
	12	18	-0.2382	0.2419	-0.2764	0.2561	0.6657
	10	12	-0.0948	0.0404	-0.1787	0.0606	0.6477
	10	14	-0.1489	0.0949	-0.1849	0.1046	0.6477
	10	16	-0.2164	0.1806	-0.2432	0.1901	0.6477
	10	18	-0.3104	0.3566	-0.3419	0.3699	0.6477
30	24	27	0.0092	0.0718	-0.1224	0.0604	0.9508
	21	24	-0.0235	0.0472	-0.1130	0.0402	0.9345
	21	27	-0.0493	0.0950	-0.1135	0.0888	0.9345
	18	21	-0.0700	0.0348	-0.1172	0.0351	0.8478
	18	24	-0.1114	0.0752	-0.1357	0.0725	0.8478
	18	27	-0.1531	0.1561	-0.1788	0.1581	0.8478
	15	18	-0.0920	0.0295	-0.1234	0.0344	0.7104
	15	21	-0.1364	0.0676	-0.1451	0.0700	0.7104
	15	24	-0.1985	0.1293	-0.2061	0.1334	0.7104
	15	27	-0.2789	0.2534	-0.2945	0.2621	0.7104
40	32	36	0.0533	0.0603	-0.0708	0.0413	0.9717
	28	32	0.0476	0.0408	-0.0560	0.0229	0.9754
	28	36	0.0514	0.0651	-0.0324	0.0507	0.9754
	24	28	0.0445	0.0334	-0.0484	0.0175	0.9777
	24	32	0.0497	0.0464	-0.0218	0.0311	0.9777
	24	36	0.0593	0.0691	-0.0083	0.0572	0.9777
	20	24	0.0352	0.0308	-0.0469	0.0154	0.9817
	20	28	0.0331	0.0399	-0.0228	0.0263	0.9817
	20	32	0.0434	0.0508	-0.0069	0.0407	0.9817
	20	36	0.0467	0.0768	-0.0042	0.0683	0.9817
50	40	45	0.0589	0.0488	-0.0472	0.0313	0.9820
	35	40	0.0505	0.0341	-0.0403	0.0177	0.9847
	35	45	0.0595	0.0542	-0.0178	0.0411	0.9847
	30	35	0.0473	0.0286	-0.0329	0.0131	0.9876
	30	40	0.0539	0.0366	-0.0093	0.0241	0.9876
	30	45	0.0624	0.0559	0.0042	0.0463	0.9876
	25	30	0.0381	0.0257	-0.0319	0.0111	0.9878
	25	35	0.0466	0.0310	-0.0076	0.0194	0.9878
	25	40	0.0527	0.0389	0.0060	0.0300	0.9878
	25	45	0.0660	0.0577	0.0191	0.0497	0.9878
60	48	54	0.0586	0.0435	-0.0368	0.0270	0.9913
	42	48	0.0522	0.0300	-0.0284	0.0144	0.9919
	42	54	0.0611	0.0453	-0.0064	0.0345	0.9919
	36	42	0.0477	0.0243	-0.0245	0.0107	0.9933
	36	48	0.0543	0.0322	-0.0038	0.0210	0.9933
	36	54	0.0644	0.0487	0.0126	0.0400	0.9933
	30	36	0.0401	0.0212	-0.0229	0.0092	0.9928
	30	42	0.0433	0.0257	-0.0037	0.0163	0.9928
	30	48	0.0555	0.0333	0.0148	0.0258	0.9928
	30	54	0.0649	0.0492	0.0215	0.0429	0.9928