Research Article

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

Table 1

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

nPercentMLBSELFBGELFBLINEX

25401.7162 (0.2808)1.7948 (0.3524)1.4560 (0.0989)1.4666 (0.0981)
601.6408 (0.1565)1.6893 (0.1822)1.4633 (0.0794)1.4708 (0.0758)
801.6160 (0.1090)1.6527 (0.1231)1.4883 (0.0645)1.4947 (0.0620)

50401.6263 (0.0985)1.6580 (0.1112)1.5114 (0.0587)1.5179 (0.0565)
601.5610 (0.0579)1.5826 (0.0624)1.4836 (0.0429)1.4891 (0.0416)
801.5667 (0.0412)1.5840 (0.0446)1.5084 (0.0308)1.5126 (0.0303)

80401.5708 (0.0521)1.5889 (0.0561)1.5042 (0.0384)1.5095 (0.0375)
601.5516 (0.0348)1.5648 (0.0369)1.5041 (0.0278)1.5080 (0.0274)
801.5269 (0.0223)1.5373 (0.0233)1.4926 (0.0196)1.4958 (0.0193)

100401.5540 (0.0420)1.5681 (0.0445)1.5023 (0.0334)1.5069 (0.0328)
601.5345 (0.0278)1.5448 (0.0289)1.4975 (0.0237)1.5008 (0.0234)
801.5292 (0.0176)1.5374 (0.0184)1.5020 (0.0155)1.5045 (0.0154)

150401.5327 (0.0243)1.5448 (0.0253)1.4992 (0.0210)1.5026 (0.0207)
601.5234 (0.0162)1.5381 (0.0167)1.4991 (0.0146)1.5016 (0.0145)
801.5143 (0.0128)1.5208 (0.0131)1.4977 (0.0119)1.4995 (0.0118)

200401.5317 (0.0188)1.5384 (0.0195)1.5067 (0.0165)1.5092 (0.0164)
601.5220 (0.0114)1.5271 (0.0117)1.5040 (0.0104)1.5058 (0.0103)
801.5119 (0.0089)1.5160 (0.0091)1.4987 (0.0084)1.5001 (0.0083)

ML: maximum likelihood estimators, BSELF: Bayesian estimators under squared error loss function, BGELF: Bayesian estimators under general entropy loss function, and BLINEX: Bayesian estimators under linear exponential loss function.