Inferences for Weibull Fréchet Distribution Using a Bayesian and Non-Bayesian Methods on Gastric Cancer Survival Times

Table 9

95% CI for , and .

Method
MLE	(-2.2774, 2.5654)	(-1.4917, 7.1111)	(-1.8837, 2.6471)
Boot-p	(0.0256, 7.1621)	(0.2122, 5.5427)	(0.0873, 7.9400)
Boot-t	(0.0164, 4.8129)	(0.2411, 5.7037)	(0.1326, 2.6246)
MCMC	(0.1265, 0.5103)	(1.6625, 3.4579)	(0.4884, 0.5876)
Method
MLE	(-0.7956, 2.0490)	(0.8651, 1.0088)	(0.0552, 0.6241)
Boot-p	(0.3261, 3.7536)	(0.7334, 1.0000)	(0.0004, 1.2423)
Boot-t	(0.4322, 5.6202)	(0.8248, 0.9999)	(0.0019, 1.0661)
MCMC	(0.6458, 0.7115)	(0.8370, 0.9823)	(0.1301, 0.6831)