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

Table 6

Average, variances, and covariance of the MLEs when the shape parameter 𝜙=2.

𝑛	𝑚	Scheme	𝜇	𝜎	Var(𝜇)	Var(𝜎)	Cov(𝜇,𝜎)
10	2	(0,8)	−1.3586	0.5130	0.2929	0.1255	0.1264
10	2	(6,2)	−1.0302	0.6377	0.2992	0.0911	0.0799
10	2	(5,3)	−1.1093	0.6059	0.2881	0.0958	0.0867
10	2	(4,4)	−1.1740	0.5808	0.2838	0.1010	0.0941
10	2	(8,0)	−0.7664	0.7522	0.4048	0.0886	0.0817
10	4	(6,0,0,0)	−0.2347	0.8968	0.2933	0.0661	0.0062
10	4	(5,1,0,0)	−0.2532	0.8856	0.2706	0.0687	0.0083
10	4	(4,2,0,0)	−0.2684	0.8776	0.2564	0.0711	0.0108
10	4	(2,4,0,0)	−0.2919	0.8667	0.2400	0.0753	0.0154
10	4	(0,0,0,6)	−0.4485	0.7786	0.1661	0.1302	0.0185
10	5	(5,0,0,0,0)	−0.1766	0.9057	0.2603	0.0587	−0.0098
10	5	(4,1,0,0,0)	−0.1873	0.8996	0.2446	0.0605	−0.0077
10	5	(3,2,0,0,0)	−0.1961	0.8952	0.2339	0.0622	−0.0058
10	5	(2,2,1,0,0)	−0.2123	0.8857	0.2162	0.0665	−0.0053
10	5	(1,2,2,0,0)	−0.2264	0.8781	0.2036	0.0707	−0.0039
10	5	(0,0,0,0,5)	−0.3127	0.8232	0.1586	0.1079	−0.0172
20	5	(15,0,0,0,0)	−0.1915	0.9378	0.2499	0.0441	0.0163
20	5	(10,5,0,0,0)	−0.2254	0.9212	0.2171	0.0469	0.0249
20	5	(5,10,0,0,0)	−0.2422	0.9156	0.2109	0.0489	0.0303
20	5	(3,3,3,3,3)	−0.3884	0.8470	0.1511	0.0720	0.0402
20	5	(5,5,5,0,0)	−0.2777	0.8976	0.1885	0.0549	0.0344
20	5	(0,0,0,0,15)	−0.4869	0.8082	0.1726	0.1297	0.0898
20	10	(10,0,…,0)	−0.0760	0.9596	0.1634	0.0320	−0.0124
20	10	(4,3,3,…,0)	−0.0883	0.9556	0.1412	0.0332	−0.0063
20	10	(0,1,2,3,4,…,0)	−0.1064	0.9462	0.1172	0.0392	−0.0019
20	10	(0,0,…,10)	−0.1469	0.9174	0.0933	0.0696	−0.0157