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