On estimating the reliability in a multicomponent stress-strength model based on Chen distribution
學年 108
學期 2
出版(發表)日期 2020-05-18
作品名稱 On estimating the reliability in a multicomponent stress-strength model based on Chen distribution
作品名稱(其他語言)
著者 Tanmay Kayal; Yogesh Mani Tripathi; Sanku Dey; Shuo-Jye Wu
單位
出版者
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
產學合作
通訊作者 Wu, S.-J.
審稿制度
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118469 )