Rao, Gadde Srinivasa2020-11-252020-11-252014Rao, G. S. (2014). Estimation of reliability in multicomponent stress-strength based on generalized Rayleigh distribution. Journal of Modern Applied Statistical Methods, 13(1), 367-379.DOI: 10.22237/jmasm/1398918180http://hdl.handle.net/20.500.12661/2596Abstract. Full text available at https://digitalcommons.wayne.edu/jmasm/vol13/iss1/24/A multicomponent system of k components having strengths following k- independently and identically distributed random variables x1, x2,…, xk and each component experiencing a random stress Y is considered. The system is regarded as alive only if at least s out of k (s < k) strengths exceed the stress. The reliability of such a system is obtained when strength and stress variates are given by a generalized Rayleigh distribution with different shape parameters. Reliability is estimated using the maximum likelihood (ML) method of estimation in samples drawn from strength and stress distributions; the reliability estimators are compared asymptotically. Monte-Carlo simulation is used to compare reliability estimates for the small samples and real data sets illustrate the procedure.enML estimationConfidence intervalsStress-strengthReliability estimationRayleigh distributionMaximum likelihoodMLGeneralized rayleigh distributionArticle