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Author Country (or Countries)

India

Abstract

This paper discusses the problem of the estimation of stressed system reliability under both classical and Bayesian paradigms. It is assumed that the strength of a system and the environmental stress applied on it, follow the generalized Lindley distribution. For Bayesian calculation, we proposed the use of MCMC technique viz Metropolis-Hastings algorithm to approximate the posteriors of the stress-strength parameters. The behaviours of the maximum likelihood and Bayes estimators of stress-strength parameters and reliability have been studied through the Monte Carlo simulation study. Finally, the empirical illustration based on a real data set has been provided.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/030106

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