Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution

Table 4

Average mean squared errors and absolute biases of (𝑝).

𝑛		𝑝=0.8	𝑝=1.6	𝑝=2.2
25	ML	0.076755 (0.191499)	0.490147 (0.476051)	0.743582 (0.661779)
	BS	0.076755 (0.191499)	0.490147 (0.476051)	0.743582 (0.661779)
	BG (𝑘=0.6)	0.065099 (0.188381)	0.553240 (0.462777)	0.910514 (0.683827)
	BG (𝑘=−0.6)	0.062020 (0.182668)	0.481165 (0.451018)	0.898282 (0.647155)
50	ML	0.025391 (0.118187)	0.147209 (0.283414)	0.364344 (0.445543)
	BS	0.025391 (0.118187)	0.147209 (0.283414)	0.364344 (0.445543)
	BG (𝑘=0.6)	0.027027 (0.123510)	0.149940 (0.288091)	0.368843 (0.438096)
	BG (𝑘=−0.6)	0.026932 (0.126065)	0.159536 (0.294393)	0.364682 (0.435072)
100	ML	0.011782 (0.085569)	0.060777 (0.186684)	0.130699 (0.278809)
	BS	0.011782 (0.085569)	0.060777 (0.186684)	0.130699 (0.278809)
	BG (𝑘=0.6)	0.012004 (0.084495)	0.058056 (0.187923)	0.141918 (0.286061)
	BG (𝑘=−0.6)	0.011583 (0.084047)	0.059122 (0.188084)	0.126457 (0.277587)