Analysis with Applications of the Generalized Type-II Progressive Hybrid Censoring Sample from Burr Type-XII Model

Table 10

The ML and Bayesian estimates of , , , and at selected censoring schemes from the real dataset.

			Bayesian
			SELF		LLF		GELF
Estimator	Scheme	ML
	1	0.277	0.677	0.455	0.670	0.446	0.645	0.397
	2	0.266	0.631	0.266	0.626	0.263	0.608	0.233
	3	0.245	1.039	0.728	1.021	0.695	0.989	0.603
	1	1.692	0.440	0.449	0.439	0.444	0.431	0.422
	2	1.677	0.712	1.866	0.708	1.756	0.697	1.691
	3	1.641	0.585	1.421	0.582	1.339	0.568	1.248
	1	0.825	0.630	0.736	0.629	0.733	0.623	0.726
	2	0.832	0.649	0.834	0.648	0.833	0.644	0.830
	3	0.844	0.495	0.622	0.493	0.617	0.482	0.593
	1	0.235	0.144	0.093	0.144	0.093	0.141	0.088
	2	0.223	0.219	0.221	0.219	0.220	0.214	0.209
	3	0.201	0.293	0.438	0.292	0.434	0.286	0.410