SYSTEM RELIABILITY ESTIMATION IN MULTICOMPONENT EXPONENTIAL-LINDLEY STRESS- STRENGTH MODELS

Authors

  • Kala J. Kantu Department of Statistics, Bangalore University, Bangalore–560056, India
  • Parameshwar V. Pandit Department of Statistics, Bangalore University, Bangalore–560056, India

Keywords:

Exponential Distribution, Lindley Distribution, Maximum Likelihood Estimators, Bayes Estimator, Stress-Strength Model, Multicomponent System, System Reliability.

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, X 2  , ..., Xk ) are subjected to one of the r random stresses(Y1 ,Y2 ,..., Yr ). 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 Lindley distribution and Exponential distribution respectively. A simulation study is conducted to compare MLE and Bayes estimator through the mean squared errors of the estimators.

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Published

2014-12-01

How to Cite

Kantu, K. J. ., & Pandit, P. V. (2014). SYSTEM RELIABILITY ESTIMATION IN MULTICOMPONENT EXPONENTIAL-LINDLEY STRESS- STRENGTH MODELS. Journal of Reliability and Statistical Studies, 7(02), 95–103. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21153

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