Estimation of reliability in a multicomponent stress–strength system for the exponentiated moment-based exponential distribution

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dc.creatorRao, Srinivasa G.
dc.creatorBhatti, Fiaz Ahmad
dc.creatorAslam, Muhammad
dc.creatorAlbassam, Mohammed
dc.date2020-11-24T07:56:22Z
dc.date2020-11-24T07:56:22Z
dc.date2019
dc.date.accessioned2022-10-20T13:25:31Z
dc.date.available2022-10-20T13:25:31Z
dc.descriptionFull text article. Also available at https://doi.org/10.3390/a12120246
dc.descriptionA multicomponent system of k components with independent and identically distributed random strengths X 1, X 2 , … X k , with each component undergoing random stress, is in working condition if and only if at least s out of k strengths exceed the subjected stress. Reliability is measured while strength and stress are obtained through a process following an exponentiated moment-based exponential distribution with different shape parameters. Reliability is gauged from the samples using maximum likelihood (ML) on the computed distributions of strength and stress. Asymptotic estimates of reliability are compared using Monte Carlo simulation. Application to forest data and to breaking strengths of jute fiber shows the usefulness of the model.
dc.identifierRao, G. S., Bhatti, F. A., Aslam, M., & Albassam, M. (2019). Estimation of reliability in a multicomponent stress–strength system for the exponentiated moment-based exponential distribution, 12(12), 246.
dc.identifierDOI: 10.3390/a12120246
dc.identifierhttp://hdl.handle.net/20.500.12661/2501
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2501
dc.languageen
dc.publisherMultidisciplinary Digital Publishing Institute
dc.subjectExponentiated moment-based
dc.subjectReliability
dc.subjectMonte Carlo simulation
dc.subjectExponential distribution
dc.subjectMaximum likelihood
dc.subjectMulticomponent system
dc.subjectStrength
dc.subjectStress
dc.titleEstimation of reliability in a multicomponent stress–strength system for the exponentiated moment-based exponential distribution
dc.typeArticle

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