On Estimating the reliability in a multicomponent stress-strength model based on Chen Distribution

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/118469

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题名:	On Estimating the reliability in a multicomponent stress-strength model based on Chen Distribution
作者:	Kayal, Tanmay;Tripathi, Yogesh Mani;Dey, Sanku;Wu, Shuo-Jye
关键词:	Bayesian estimation;highest posterior density interval;maximum likelihood estimation;reliability of multicomponent;stress-strength
日期:	2019-02-16
上传时间:	2020-04-07 12:10:16 (UTC+8)
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.
關聯:	Communications in Statistics - Theory and Methods 49(10), p.2429-2447
DOI:	10.1080/03610926.2019.1576886
显示于类别:	[統計學系暨研究所] 期刊論文

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