Estimation of Reliability for a Two Component Survival Stress-Strength Model | Zendy

Surekha B. Munoli | Zendy; Rohit R. Mutkekar | Zendy

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Estimation of Reliability for a Two Component Survival Stress-Strength Model

Author(s) -

Surekha B. Munoli,

Rohit R. Mutkekar

Publication year - 2011

Publication title -

journal of quality and reliability engineering

Language(s) - English

Resource type - Journals

eISSN - 2314-8047

pISSN - 2314-8055

DOI - 10.1155/2011/721962

Subject(s) - estimator , reliability (semiconductor) , component (thermodynamics) , maximum likelihood , statistics , mathematics , bayes' theorem , function (biology) , stress (linguistics) , computation , likelihood function , reliability theory , bayes estimator , failure rate , algorithm , bayesian probability , physics , power (physics) , linguistics , philosophy , quantum mechanics , evolutionary biology , biology , thermodynamics

The reliability function for a parallel system of two identical components is derived from a stress-strength model, where failure of one component increases the stress on the surviving component of the system. The Maximum Likelihood Estimators of parameters and their asymptotic distribution are obtained. Further the Maximum Likelihood Estimator and Bayes Estimator of reliability function are obtained using the data from a life-testing experiment. Computation of estimators is illustrated through simulation study

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