文章基本信息

标题：INFERENTIAL ANALYSIS OF THE RE-MODELED STRESS-STRENGTH SYSTEM RELIABILITY WITH APPLICATION TO THE REAL DATA
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作者：Bhupendra Singh ; Shubhi Rathi ; Gajraj Singh 等
期刊名称：Journal of Reliability and Statistical Studies
印刷版ISSN：0974-8024
电子版ISSN：2229-5666
出版年度：2011
卷号：4
期号：2
页码：1-23
出版社：Ankur Printing Palace
摘要：The present study deals with the classical and Bayesian analysis of re-modeledstress-strength system reliability by considering Weibull distribution as the distribution of boththe stress and strength variables.The proposed re-modeled stress-strength system reliability isdefined as the probability that the system is capableto withstand the maximum operatedstress atits minimum strength i.e.,P[U>V], where U=Min(X1, X2…Xm) and V=Max(Y1,Y2,……Yn). Theobservations X1, X2…Xmand Y1,Y2,……Ynare the measurements on the strength and stressvariables at different time epochs.Thegoodness-of-fit of the two real data sets for the proposedmodel is also demonstrated
关键词：Stress;-;Strength mode;l; maximum likelihood estimate; Bayes estimate; empirical;distribution function; Gibbs sampler; Metropolis;-;Hastings algorithm; highest p;osterior density;credible;interval