Estimation of reliability in a multicomponent stress- strength model based on generalized linear failure rate distribution
Pages : 1634-1651
View : 32 | Download : 5
Publication Date : 2018-12-12
Article Type : Research Paper
Abstract :In this paper, we consider the problem of estimation reliability in multicomponent stress-strength model, when the system consists of $k$-components have strength are given by independently and identically distributed random variables $X_{1},...,X_{k}$ each component experiencing a random stress governed by a random variable $Y$. The reliability such system is obtained when strength and stress variables are given by a generalized linear failure rate distribution. The system is regarded as alive only if at least $s$ out of $k$ $insert ignore into journalissuearticles values(s
Keywords : Generalized linear failure rate, stress strength model, maximum likelihood method, Bayes estimator, simulation