Estimation of the Parameters of the Reversed Generalized Logistic Distribution with Progressive Censoring Data

Table 5

Average, variances, and covariance of the approximate MLEs when the shape parameter 𝜙=1.5.

𝑛	𝑚	Scheme	𝜇	𝜎	Var(𝜇)	Var(𝜎)	Cov(𝜇,𝜎)
10	2	(8,0)	−0.7506	0.8203	0.6625	0.11365	0.1475
10	2	(6,2)	−0.8987	0.7331	0.5649	0.1528	0.1641
10	2	(5,3)	−0.9386	0.7065	0.5663	0.1635	0.1806
10	2	(4,4)	−0.9479	0.6820	0.5705	0.1729	0.1958
10	2	(0,8)	−1.1518	0.5701	0.5337	0.1838	0.2222
10	4	(6,0,0,0)	−0.2725	0.9826	0.4489	0.1013	0.0323
10	4	(5,1,0,0)	−0.2757	0.9753	0.4230	0.1056	0.03665
10	4	(4,2,0,0)	−0.2780	0.9674	0.4055	0.1087	0.0408
10	4	(2,4,0,0)	−0.2851	0.9487	0.3794	0.1121	0.0477
10	4	(0,0,0,6)	−0.3640	0.8438	0.2688	0.1604	0.0629
10	5	(5,0,0,0,0)	−0.1076	0.9753	0.5131	0.1123	0.0608
10	5	(4,1,0,0,0)	−0.2058	0.9862	0.3660	0.0912	0.0112
10	5	(3,2,0,0,0)	−0.2071	0.9791	0.3508	0.0927	0.0142
10	5	(2,2,1,0,0)	−0.2097	0.9664	0.3250	0.0970	0.0163
10	5	(1,2,2,0,0)	−0.2146	0.9528	0.3049	0.1004	0.0193
10	5	(0,0,0,0,5)	−0.2045	0.9924	0.3856	0.0889	0.0078
20	5	(15,0,0,0,0)	−0.2252	1.0221	0.3854	0.0680	0.0390
20	5	(10,5,0,0,0)	−0.2314	1.0108	0.3507	0.0725	0.0528
20	5	(5,10,0,0,0)	−0.2394	0.9924	0.3359	0.0732	0.0594
20	5	(3,3,3,3,3)	−0.3161	0.9283	0.2603	0.1004	0.0783
20	5	(5,5,5,0,0)	−0.2490	0.9816	0.3123	0.0819	0.0675
20	5	(0,0,0,0,15)	−0.4124	0.8524	0.2780	0.1428	0.1301
20	10	(10,0,…,0)	−0.0795	1.0419	0.2300	0.0470	−0.0043
20	10	(4,3,3,…,0)	−0.0850	1.0263	0.2002	0.0474	0.0037
20	10	(0,1,2,3,4,…,0)	−0.1003	0.9972	0.1652	0.0519	0.0106
20	10	(0,…,0,10)	−0.1291	0.9578	0.1236	0.0730	0.0045