Bayesian Inference of the Weibull Model Based on Interval-Censored Survival Data

Table 4

Absolute biases for (𝛽) under informative prior and MLE with interval-censoring.

𝑛	𝛼	𝛽	𝛽ML	𝛽BS	𝛽BL	𝛽BG	𝛽BL	𝛽BG	𝛽BL	𝛽BG	𝛽BL	𝛽BG
					𝑐=𝑘=0.6		𝑐=𝑘=−0.6		𝑐=𝑘=1.4		𝑐=𝑘=−1.4
25	2	0.8	0.03694	0.03538	0.03713	0.03723	0.03645	0.03612	0.03652	0.03685	0.03699	0.03392
		1.2	0.03770	0.03555	0.03795	0.03790	0.03351	0.03641	0.03829	0.03822	0.03836	0.03371
	4	0.8	0.03701	0.03544	0.03727	0.03689	0.03367	0.03609	0.03653	0.03699	0.03651	0.03409
		1.2	0.03824	0.03612	0.03745	0.03721	0.03287	0.03727	0.03838	0.03775	0.03750	0.03375
50	2	0.8	0.01742	0.01708	0.01747	0.01783	0.01698	0.01749	0.01755	0.01756	0.01762	0.01689
		1.2	0.01770	0.01724	0.01816	0.01766	0.01710	0.01767	0.01787	0.01807	0.01737	0.01707
	4	0.8	0.01767	0.01732	0.01766	0.01776	0.01702	0.01740	0.01772	0.01769	0.01772	0.01698
		1.2	0.01783	0.01736	0.01801	0.01802	0.01721	0.01757	0.01784	0.01805	0.01793	0.01714
100	2	0.8	0.01166	0.01159	0.01173	0.01158	0.01137	0.01159	0.01166	0.01157	0.01223	0.01136
		1.2	0.01176	0.01157	0.01176	0.01180	0.01152	0.01177	0.01181	0.01191	0.01170	0.01141
	4	0.8	0.01156	0.01142	0.01153	0.01156	0.01141	0.01156	0.01155	0.01162	0.01167	0.01128
		1.2	0.01178	0.01159	0.01197	0.01170	0.01149	0.01164	0.01179	0.01174	0.01172	0.01135

ML: Maximum Likelihood, BG: General Entropy Loss Function, BL: LINEX Loss Function, BS: Squared Error Loss Function.