Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme

Table 9

Estimates and confidence/HPD/bootstrap intervals for real data set.

𝑟		MLE	Bootstrap	Bayes
Complete	𝛼	0.2071	Shape = 3.316171	0.19774
		0.1225917, 0.2916155	(0.1534971, 0.3848719)	0.1384182, 0.2585010
	𝛽	0.25876	Shape = 2.136357	0.24668
		0.1300606, 0.3874579	(0.1746025, 0.4385483)	0.1613039, 0.3347743
18	𝛼	0.27514	Shape = 7.412105	0.22501
		0.07038155, 0.4799067	(0.1595285, 1.1320991)	0.0554001, 0.4020123
	𝛽	0.2557	Shape = 2.094187	0.24559
		0.1253812, 0.3860173	(0.1708061, 0.4334815)	0.1562725, 0.3323715
15	𝛼	0.38256	Shape = 9.825055	0.26299
		−0.01972 = 0, 0.7848314	(0.1684655, 2.4860048)	0.0002199, 0.5562250
	𝛽	0.25644	Shape = 2.330094	0.24741
		0.1237523, 0.3891245	(0.1741460, 0.4481874)	0.1567716, 0.3352633