出版日期：2019-10-01 00:00:00

著者：Sukhdev Singh; Yogesh Mani Tripathi; Shuo-Jye Wu

著錄名稱、卷期、頁數：Hacettepe Journal of Mathematics and Statistics 48(5), p.1488-1504

摘要：In this paper, we consider the problems of Bayesian estimation and prediction for lognormal distribution under progressive Type-II censored data. We propose various non-informative and informative priors for the unknown lognormal parameters and compute the Bayes estimates under squared error loss function. Importance sampling technique and OpenBUGS are taken into consideration for the computational purpose. Further, we predict lifetimes of both censored and future samples under one- and two-sample prediction frameworks. We also compute the corresponding Bayes predictive bounds. A simulation study is conducted to compare the performance of proposed estimates and a real data set is analyzed to illustrate applications of this study. Finally, a conclusion is presented.

關鍵字：equal-tail interval;highest posterior density interval;one-sample prediction;OpenBUGS;two-sample prediction;importance sampling

語言：en_US

期刊性質：國外

收錄於：SCI

通訊作者：Wu, S.-J.

審稿制度：是

國別：TUR

出版型式：電子版,紙本