Bayesian analysis for lognormal distribution under progressive type-II censoring
學年 108
學期 1
出版（發表）日期 2019-10-01
作品名稱 Bayesian analysis for lognormal distribution under progressive type-II censoring
作品名稱（其他語言）
著者 Sukhdev Singh; Yogesh Mani Tripathi; Shuo-Jye Wu
單位
出版者
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
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Wu, S.-J.
審稿制度 是
國別 TUR
公開徵稿
出版型式 ,電子版,紙本
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