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

Table 5

Average mean squared errors and absolute biases of the survival function 𝑆(𝑡) at 𝑇=25,50, and 100.

	𝑝=0.8	𝑝=1.6	𝑝=2.2
ML	0.075982 (0.042809)	0.082151 (0.045894)	0.078309 (0.044532)
BS	0.075986 (0.042836)	0.082597 (0.046023)	0.078476 (0.044688)
BG (𝑘=0.6)	0.080981 (0.045294)	0.082265 (0.045688)	0.086399 (0.046789)
BG (𝑘=−0.6)	0.077210 (0.042326)	0.083746 (0.044032)	0.083479 (0.043191)
ML	0.075706 (0.031059)	0.080699 (0.031094)	0.078253 (0.031479)
BS	0.075725 (0.031063)	0.080711 (0.031107)	0.078272 (0.031507)
BG (𝑘=0.6)	0.079284 (0.031347)	0.082140 (0.032464)	0.078831 (0.031191)
BG (𝑘=−0.6)	0.075028 (0.031119)	0.078181 (0.031753)	0.080356 (0.032732)
ML	0.073820 (0.022000)	0.075437  (0.022445)	0.074257 (0.022533)
BS	0.073923 (0.022000)	0.075437 (0.022447)	0.077209 (0.022535)
BG (𝑘=0.6)	0.072898 (0.021704)	0.078784 (0.022582)	0.076435 (0.022308)
BG (𝑘=−0.6)	0.070723 (0.022449)	0.075552 (0.022798)	0.076741 (0.022954)

ML: maximum likelihood, BG: general entropy, and BS: squared error.