SYSTEM RELIABILITY ESTIMATION IN MULTICOMPONENT EXPONENTIAL-LINDLEY STRESSSTRENGTH MODELS

  • 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 ( ) 1 2 , ,..., k X X X are subjected to one of the r random stresses ( ) 1 2 , ,..., r Y Y Y . 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
2014-11-18
Section
Articles