Research Article

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

Table 13

95% CI for , and .

Technique
 MLE(-0.2527, 0.5514)(1.2292, 3.8668)(-0.3383, 1.5873)
 Boot-p(0.0780, 0.8932)(0.9773, 3.1390)(0.0834, 4.3518)
 Boot-t(0.0175, 0.9386)(1.4634, 3.0890)(0.2798, 3.3518)
 MCMC(0.0626, 0.5792)(1.7626, 3.8057)(0.3442, 1.0778)
Method
 MLE(-0.9338, 4.4720)(0.6996, 0.9081)(0.1457, 0.5081)
 Boot-p(0.4779, 4.5626)(0.6503, 1.0684)(0.1615, 0.4122)
 Boot-t(0.4755, 5.5563)(0.6486, 0.9813)(0.1764, 0.3533)
 MCMC(1.0544, 1.9124)(0.7264, 0.9042)(0.1876, 0.3934)