System reliability estimation in multicomponent exponential stress-strength models

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Parameshwar V. Pandit, . and Kala J. Kantu, . (2013) System reliability estimation in multicomponent exponential stress-strength models. International Journal of Reliability and Applications, 5 (1). pp. 35-40. ISSN 1598-0073 (In Press)

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Abstract

A stress-strength model is formulated for a multi-component system consisting of k identical components. The k components of the system with random strengths (X1, X2, …, Xk) are subjected to one of the r random stresses (Xk+1, Xk+2, …, X k+r). The estimation of system reliability based on maximum likelihood estimates (MLEs) and Bayes estimators in k component system are obtained when the system is either parallel or series with the assumption that strengths and stresses follow exponential distribution. A simulation study is conducted to compare MLE and Bayes estimator through the mean squared errors of the estimators

Item Type: Article
Subjects: Faculty of Science > Applied Sciences > Statistics
Divisions: Jnana Bharathi / Central College Campus > Department of Statistics
Depositing User: Mr. Lokeshareddy Y C
Date Deposited: 13 May 2017 06:58
Last Modified: 13 May 2017 06:58
URI: http://eprints-bangaloreuniversity.in/id/eprint/7683

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