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

Table 3

MSE of estimates for the parameter .

	Sc	MLE	Bootstrap		MCMC			MCMC
			Boot-p	Boot-t	BSE	BLINEX		BSE	BLINEX
						(30, 15)	I		0.0643	0.0473	0.0198	0.0236	0.0277	0.0179	0.0275	0.0372	0.0259
II	0.0653	0.0472	0.0205	0.0261	0.0283		0.0185	0.0285	0.0384	0.0254
III	0.0931	0.0856	0.0228	0.0293	0.0286		0.0184	0.0289	0.0369	0.0267
(30, 25)	I	0.0480	0.0244	0.0172	0.0213	0.0234	0.0142	0.0276	0.0281	0.0162
	II	0.0591	0.0266	0.0175	0.0267	0.0253	0.0144	0.0289	0.0293	0.0275
	III	0.0485	0.0269	0.0242	0.0234	0.0273	0.0151	0.0295	0.0343	0.0279
(50, 30)	I	0.0400	0.0396	0.0158	0.0202	0.0251	0.0138	0.0239	0.0279	0.0261
	II	0.0518	0.0467	0.0127	0.0211	0.0298	0.0141	0.0240	0.0284	0.0269
	III	0.0793	0.0491	0.0174	0.0259	0.0273	0.0149	0.0245	0.0285	0.0298
(70, 40)	I	0.0391	0.0381	0.0123	0.0198	0.0212	0.0122	0.0205	0.0231	0.0198
	II	0.0435	0.0399	0.0199	0.0209	0.0238	0.0138	0.0217	0.0249	0.0215
	III	0.0669	0.0386	0.0162	0.0237	0.0242	0.0127	0.0233	0.0245	0.0219
(80, 50)	I	0.0352	0.0256	0.0198	0.0112	0.0131	0.0105	0.0129	0.0157	0.0117
	II	0.0372	0.0272	0.0185	0.0192	0.0135	0.0113	0.0138	0.0160	0.0130
	III	0.0464	0.0266	0.0166	0.0193	0.0133	0.0113	0.0142	0.0159	0.0130
(100, 75)	I	0.0133	0.0119	0.0079	0.0039	0.0055	0.0034	0.0098	0.0118	0.0064
	II	0.0136	0.0125	0.0095	0.0072	0.0084	0.0049	0.0098	0.0132	0.0076
	III	0.0139	0.0139	0.0116	0.0074	0.0098	0.0062	0.0104	0.0129	0.0097