Estimation of reliability in multicomponent stress–strength based on two parameter exponentiated weibull distribution

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dc.contributor.authorRao, Srinivasa G.
dc.contributor.authorAslam, Muhammad
dc.contributor.authorArif, Osama H.
dc.date.accessioned2020-12-10T07:08:43Z
dc.date.available2020-12-10T07:08:43Z
dc.date.issued2017
dc.descriptionAbstract. Full text article available at https://doi.org/10.1080/03610926.2016.1154155en_US
dc.description.abstractIn this research article, we estimate the multicomponent stress–strength reliability of a system when strength and stress variates are drawn from an exponentiated Weibull distribution with different shape parameters α and β, and common shape and scale parameters γ and λ, respectively. We estimate the parameters by using maximum likelihood estimation (MLE) and hence the estimate of reliability obtained applying the MLE method of estimation when samples are drawn from stress and strength distributions. The small sample comparison of the reliability estimates is made through Monte Carlo simulation.en_US
dc.identifier.citationSrinivasa Rao, G., Aslam, M., & Arif, O. H. (2017). Estimation of reliability in multicomponent stress–strength based on two parameter exponentiated weibull distribution. Communications in Statistics-Theory and Methods, 46(15), 7495-7502.en_US
dc.identifier.otherDOI:10.1080/03610926.2016.1154155
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2644
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.subjectConfidence intervalsen_US
dc.subjectExponentiated Weibull distributionen_US
dc.subjectMLE estimationen_US
dc.subjectReliability estimationen_US
dc.subjectStress–strengthen_US
dc.subjectReliability in multicomponenten_US
dc.titleEstimation of reliability in multicomponent stress–strength based on two parameter exponentiated weibull distributionen_US
dc.typeArticleen_US
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