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

Table 5

MSE of estimates for the parameter .

	Sc	MLE	Bootstrap		MCMC			MCMC
			Boot-p	Boot-t	BSE	BLINEX		BSE	BLINEX
						(30, 15)	I		0.0302	0.0299	0.0248	0.0261	0.0279	0.0175	0.0299	0.0230	0.0200
II	0.0397	0.0400	0.0249	0.0319	0.0279		0.0178	0.0308	0.0242	0.0239
III	0.0371	0.0436	0.0258	0.0398	0.0393		0.0296	0.0366	0.0297	0.0358
(30, 25)	I	0.0233	0.0237	0.0199	0.0192	0.0135	0.0113	0.0138	0.0160	0.0130
	II	0.0324	0.0303	0.0219	0.0226	0.0250	0.0135	0.0256	0.0231	0.0157
	III	0.0347	0.0376	0.0289	0.0234	0.0273	0.0151	0.0295	0.0343	0.0279
(50, 30)	I	0.0262	0.0254	0.0246	0.0209	0.0238	0.0138	0.0217	0.0249	0.0215
	II	0.0286	0.0269	0.0249	0.0213	0.0234	0.0142	0.0276	0.0281	0.0262
	III	0.0291	0.0286	0.0254	0.0234	0.0273	0.0151	0.0295	0.0343	0.0279
(70, 40)	I	0.0178	0.0299	0.0147	0.0141	0.0169	0.0123	0.0142	0.0171	0.0143
	II	0.0203	0.0215	0.0153	0.0144	0.0174	0.0139	0.0151	0.0171	0.0149
	III	0.0218	0.0219	0.0198	0.0165	0.0183	0.0142	0.0159	0.0179	0.0157
(80, 50)	I	0.0163	0.0132	0.0164	0.0116	0.0134	0.0101	0.0125	0.0141	0.0120
	II	0.0165	0.0160	0.0155	0.0123	0.0139	0.0129	0.0143	0.0149	0.0146
	III	0.0166	0.0169	0.0147	0.0136	0.0154	0.0139	0.0145	0.0150	0.0150
(100, 75)	I	0.0098	0.0095	0.0093	0.0092	0.0105	0.0069	0.0096	0.0099	0.0073
	II	0.0106	0.0098	0.0094	0.0100	0.0114	0.0073	0.0103	0.0112	0.0098
	III	0.0111	0.0100	0.0096	0.0102	0.0115	0.0079	0.0100	0.0139	0.0098