出版日期：2020-05-18 00:00:00

著者：Tanmay Kayal; Yogesh Mani Tripathi; Sanku Dey; Shuo-Jye Wu

著錄名稱、卷期、頁數：Communications in Statistics - Theory and Methods 49(10), p.2429-2447

摘要：In this article, we obtain point and interval estimates of multicomponent stress-strength reliability model of an s-out-of-j system using classical and Bayesian approaches by assuming both stress and strength variables follow a Chen distribution with a common shape parameter which may be known or unknown. The uniformly minimum variance unbiased estimator of reliability is obtained analytically when the common parameter is known. The behavior of proposed reliability estimates is studied using the estimated risks through Monte Carlo simulations and comments are obtained. Finally, a data set is analyzed for illustrative purposes.

關鍵字：Bayesian estimation;highest posterior density interval;maximum likelihood estimation;reliability of multicomponent;stress-strength

語言：en_US

ISSN：0361-0926

期刊性質：國外

收錄於：SCI Scopus

通訊作者：Wu, S.-J.

審稿制度：是

國別：USA

出版型式：電子版,紙本