Bayesian Estimation of Gumbel Type-II Distribution under Type-II Censoring with Medical Applications

Table 2

Average ML and Bayesian estimates with corresponding MSEs (within parenthesis) using different percentages of failures for β = 1.5 (when a = b = c = d = 2, k = 1).

n	Percent	ML	BSELF	BGELF	BLINEX
25	40	1.5418 (0.1538)	1.6030 (0.1852)	1.3879 (0.1131)	1.3988 (0.1042)
	60	1.5907 (0.1522)	1.6488 (0.1737)	1.4357 (0.0886)	1.4448 (0.0842)
	80	1.5725 (0.1338)	1.6280 (0.1651)	1.4255 (0.0827)	1.4346 (0.0782)
50	40	1.5211 (0.0635)	1.5473 (0.0684)	1.4455 (0.0548)	1.4521 (0.0526)
	60	1.5396 (0.0575)	1.5644 (0.0632)	1.4677 (0.0467)	1.4735 (0.0451)
	80	1.5358 (0.0565)	1.5609 (0.0624)	1.4658 (0.0458)	1.4715 (0.0442)
80	40	1.5147 (0.0351)	1.5303 (0.0371)	1.4676 (0.0320)	1.4721 (0.0312)
	60	1.5215 (0.0349)	1.5364 (0.0364)	1.4774 (0.0311)	1.4814 (0.0304)
	80	1.5262 (0.0341)	1.5415 (0.0363)	1.4830 (0.0297)	1.4869 (0.0291)
100	40	1.5026 (0.0298)	1.5149 (0.0306)	1.4654 (0.0285)	1.4691 (0.0279)
	60	1.5220 (0.0260)	1.5338 (0.0272)	1.4868 (0.0237)	1.4901 (0.0233)
	80	1.5158 (0.0249)	1.5278 (0.0262)	1.4817 (0.0224)	1.4850 (0.0221)
150	40	1.5033 (0.0191)	1.5114 (0.0194)	1.4784 (0.0184)	1.4809 (0.0182)
	60	1.5118 (0.0165)	1.5194 (0.0170)	1.4886 (0.0157)	1.4909 (0.0155)
	80	1.5067 (0.0163)	1.5145 (0.0168)	1.4842 (0.0153)	1.4865 (0.0151)
200	40	1.5060 (0.0130)	1.5121 (0.0133)	1.4873 (0.0123)	1.4892 (0.0122)
	60	1.5105 (0.0119)	1.5162 (0.0122)	1.4931 (0.0113)	1.4949 (0.0112)
	80	1.5110 (0.0116)	1.5169 (0.0118)	1.4940 (0.0112)	1.4958 (0.0111)