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

Table 6

MSE of estimates for with .

	Sc	MLE	Bootstrap		MCMC			MCMC
			Boot-p	Boot-t	BSE	BLINEX		BSE	BLINEX
						(30, 15)	I		0.0265	0.0254	0.0249	0.0237	0.0241	0.0225	0.0227	0.0230	0.0218
II	0.0278	0.0271	0.0265	0.0251	0.0257		0.0238	0.0236	0.0235	0.0222
III	0.0281	0.0283	0.0274	0.0259	0.0261		0.0241	0.0240	0.0239	0.0223
(30, 25)	I	0.0221	0.0199	0.0201	0.0185	0.0191	0.0192	0.0207	0.0216	0.0201
	II	0.0225	0.0219	0.0210	0.0187	0.0185	0.0196	0.0210	0.0223	0.0221
	III	0.0227	0.0221	0.0225	0.0191	0.0188	0.0198	0.0191	0.0219	0.0221
(50, 30)	I	0.0185	0.0175	0.0170	0.0125	0.0147	0.0121	0.0119	0.0098	0.0092
	II	0.0189	0.0183	0.0180	0.0134	0.0159	0.0125	0.0143	0.0141	0.0110
	III	0.0195	0.0193	0.0187	0.0149	0.0160	0.0129	0.0100	0.0115	0.0116
(70, 40)	I	0.0099	0.0100	0.0095	0.0088	0.0089	0.0090	0.0087	0.0088	0.0089
	II	0.0100	0.0113	0.0099	0.0089	0.0088	0.0087	0.0089	0.0089	0.0086
	III	0.0111	0.0115	0.0090	0.0085	0.0081	0.0083	0.0087	0.0088	0.0081
(80, 50)	I	0.0059	0.0054	0.0041	0.0029	0.0036	0.0021	0.0021	0.0025	0.0022
	II	0.0062	0.0059	0.0040	0.0034	0.0041	0.0030	0.0035	0.0032	0.0030
	III	0.0088	0.0073	0.0070	0.0072	0.0052	0.0061	0.0065	0.0050	0.0048
(100, 75)	I	0.0050	0.0049	0.0046	0.0031	0.0032	0.0037	0.0028	0.0033	0.0031
	II	0.0040	0.0045	0.0036	0.0021	0.0023	0.0033	0.0020	0.0025	0.0025
	III	0.0043	0.0041	0.0035	0.0025	0.0021	0.0022	0.0029	0.0030	0.0030