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

Table 2

Average, variances, and covariance of the MLEs when the shape parameter 𝜙=1.

𝑛	𝑚	Scheme	𝜇	𝜎	Var(𝜇)	Var(𝜎)	Cov(𝜇,𝜎)
10	2	(8,0)	−0.5470	0.7741	0.9621	0.1799	0.2466
10	2	(6,2)	−0.7365	0.6491	0.7874	0.1772	0.2531
10	2	(5,3)	−0.7951	0.6155	0.7839	0.1824	0.2678
10	2	(4,4)	−0.8434	0.5892	0.7908	0.1883	0.2827
10	2	(0,8)	−0.9828	0.5190	0.8507	0.2173	0.34011
10	4	(6,0,0,0)	−0.1515	0.9053	0.5497	0.1243	0.0854
10	4	(5,1,0,0)	−0.1626	0.8938	0.5243	0.1721	0.0914
10	4	(4,2,0,0)	−0.1721	0.8856	0.5106	0.0971	0.1296
10	4	(0,0,2,4)	−0.2533	0.7925	0.4089	0.11380	0.1668
10	4	(0,0,0,6)	−0.2583	0.7876	0.4103	0.1725	0.1434
10	5	(5,0,0,0,0)	−0.0996	0.9116	0.4473	0.1070	0.05302
10	5	(4,1,0,0,0)	−0.1070	0.9050	0.4315	0.1088	0.0576
10	5	(3,2,0,0,0)	−0.1135	0.9003	0.4218	0.1104	0.0616
10	5	(2,2,1,0,0)	−0.1220	0.8906	0.4008	0.1142	0.0661
10	5	(1,2,2,0,0)	−0.1303	0.8830	0.3384	0.1179	0.0713
10	5	(0,0,0,0,5)	−0.1533	0.8325	0.3173	0.1393	0.08164
20	5	(0,0,0,0,15)	−0.3329	0.8126	0.4683	0.1519	0.1998
20	5	(15,0,0,0,0)	−0.1442	0.9424	0.4784	0.0844	0.0777
20	5	(10,5,0,0,0)	−0.1693	0.9249	0.4503	0.0873	0.0928
20	5	(5,10,0,0,0)	−0.1827	0.9190	0.4536	0.0897	0.1023
20	5	(3,3,3,3,3)	−0.2600	0.8538	0.3904	0.1120	0.1320
20	5	(5,5,5,0,0)	−0.2031	0.9015	0.4316	0.0964	0.1130
20	10	(10,0,…,0)	−0.0416	0.9623	0.2571	0.0576	0.05671
20	10	(4,3,3,…,0)	−0.0541	0.9574	0.2422	0.0578	0.0297
20	10	(0,1,2,3,4,…,0)	−0.0663	0.9471	0.2219	0.0631	0.0397
20	10	(0,…,0,10)	−0.0726	0.9222	0.1781	0.0776	0.0429