出版日期：2022-12-01 00:00:00

著者：Farha Sultana; Yogesh Mani Tripathi; Shuo-Jye Wu; Tanmay Sen

著錄名稱、卷期、頁數：Annals of Data Science 9(6), p.1283-1307

摘要：In this paper, we investigate the estimation problems of unknown parameters of the Kumaraswamy distribution under type I progressive hybrid censoring. This censoring scheme is a combination of progressive type I and hybrid censoring schemes. We derive the maximum likelihood estimates of parameters using an expectation-maximization algorithm. Bayes estimates are obtained under different loss functions using the Lindley method and importance sampling procedure. The highest posterior density intervals of unknown parameters are constructed as well. We also obtain prediction estimates and prediction intervals for censored observations. A Monte Carlo simulation study is performed to compare proposed methods and one real data set is analyzed for illustrative purposes.

關鍵字：Bayes estimates;Importance sampling;Lindley approximation;Maximum likelihood estimates;One-sample prediction

語言：en

ISSN：2198-5804;2198-5812

期刊性質：國外

收錄於：Scopus

通訊作者：Yogesh Mani Tripathi

審稿制度：是

國別：DEU

出版型式：電子版,紙本