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

Table 7

MSE of estimates for with .

	Sc	MLE	Bootstrap		MCMC			MCMC
			Boot-p	Boot-t	BSE	BLINEX		BSE	BLINEX
						(30, 15)	I		0.0100	0.0090	0.0099	0.0085	0.0085	0.0085	0.0093	0.0092	0.0093
II	0.0100	0.0089	0.0099	0.0081	0.0081		0.0081	0.0089	0.0089	0.0089
III	0.0100	0.0093	0.0099	0.0077	0.0077		0.0077	0.0085	0.0085	0.0085
(30, 25)	I	0.0100	0.0089	0.0100	0.0080	0.0080	0.0080	0.0089	0.0089	0.0089
	II	0.0100	0.0087	0.0100	0.0086	0.0086	0.0086	0.0092	0.0092	0.0092
	III	0.0100	0.0081	0.0099	0.0076	0.0076	0.0076	0.0085	0.0085	0.0085
(50, 30)	I	0.0100	0.0098	0.0100	0.0087	0.0087	0.0087	0.0093	0.0093	0.0093
	II	0.0100	0.0092	0.0100	0.0091	0.0091	0.0091	0.0095	0.0095	0.0095
	III	0.0100	0.0094	0.0100	0.0078	0.0078	0.0078	0.0087	0.0087	0.0087
(70, 40)	I	0.0100	0.0094	0.0100	0.0091	0.0091	0.0091	0.0095	0.0095	0.0096
	II	0.0100	0.0095	0.0100	0.0091	0.0091	0.0091	0.0095	0.0095	0.0096
	III	0.0100	0.0096	0.0100	0.0084	0.0084	0.0084	0.0087	0.0087	0.0087
(80, 50)	I	0.0100	0.0095	0.0100	0.0092	0.0092	0.0092	0.0096	0.0096	0.0096
	II	0.0100	0.0095	0.0100	0.0093	0.0093	0.0093	0.0096	0.0096	0.0096
	III	0.0100	0.0096	0.0100	0.0087	0.0087	0.0087	0.0090	0.0090	0.0091
(100, 75)	I	0.0100	0.0096	0.0100	0.0094	0.0094	0.0094	0.0097	0.0097	0.0097
	II	0.0100	0.0097	0.0100	0.0093	0.0093	0.0093	0.0095	0.0095	0.0095
	III	0.0100	0.0097	0.0100	0.0092	0.0092	0.0092	0.0094	0.0094	0.0094