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

Table 11

The CIs and ACL for , , , and at selected censoring schemes from real dataset.

				Bayesian
		Asymp.CI
Estimator	Sch.
	1	(0.090, 0.465)	(0.055, 0.500)	(0.424, 0.992)	(0.388, 1.037)	(0.196, 0.809)	(0.184, 0.954)
		0.375	0.445	0.568	0.649	0.613	0.769
	2	(0.083, 0.448)	(0.049, 0.483)	(0.428, 0.880)	(0.400, 0.944)	(0.121, 0.482)	(0.111, 0.547)
		0.365	0.434	0.451	0.544	0.362	0.436
	3	(0.067, 0.423)	(0.033, 0.457)	(0.657, 1.542)	(0.602, 1.650)	(0.276, 1.446)	(0.210, 1.664)
		0.357	0.424	0.885	1.048	1.17	1.454
	1	(0.714, 2.669)	(0.531, 2.852)	(0.326, 0.571)	(0.311, 0.596)	(0.266, 0.686)	(0.227, 0.700)
		1.954	2.322	0.245	0.285	0.42	0.473
	2	(0.698, 2.656)	(0.514, 2.840)	(0.536, 0.924)	(0.505, 0.959)	(0.971, 3.294)	(0.873, 3.385)
		1.958	2.326	0.388	0.454	2.323	2.512
	3	(0.651, 2.632)	(0.465, 2.818)	(0.406, 0.789)	(0.387, 0.841)	(0.645, 2.566)	(0.554, 3.281)
		1.981	2.353	0.383	0.454	1.921	2.727
	1	(0.718, 0.932)	(0.698, 0.952)	(0.503, 0.745)	(0.487, 0.764)	(0.570, 0.873)	(0.516, 0.880)
		0.214	0.255	0.242	0.277	0.303	0.364
	2	(0.726, 0.937)	(0.707, 0.957)	(0.543, 0.743)	(0.520, 0.757)	(0.716, 0.920)	(0.684, 0.925)
		0.211	0.25	0.2	0.238	0.204	0.242
	3	(0.739, 0.948)	(0.720, 0.968)	(0.343, 0.634)	(0.318, 0.658)	(0.366, 0.826)	(0.315, 0.864)
		0.209	0.248	0.291	0.34	0.46	0.549
	1	(0.137, 0.332)	(0.119, 0.350)	(0.107, 0.188)	(0.100, 0.194)	(0.057, 0.136)	(0.053, 0.147)
		0.195	0.231	0.081	0.094	0.079	0.094
	2	(0.127, 0.318)	(0.109, 0.336)	(0.162, 0.284)	(0.152, 0.296)	(0.136, 0.320)	(0.122, 0.342)
		0.191	0.227	0.123	0.144	0.184	0.22
	3	(0.105, 0.298)	(0.087, 0.316)	(0.213, 0.384)	(0.202, 0.401)	(0.249, 0.665)	(0.223, 0.721)
		0.193	0.229	0.171	0.199	0.416	0.498