Estimation of reliability in multicomponent stress-strength based on dagum distribution

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dc.creatorFulment, Arnold K.
dc.creatorJosephat, Peter K.
dc.creatorRao, Gadde Srinivasa
dc.date2020-11-25T08:29:02Z
dc.date2020-11-25T08:29:02Z
dc.date2017
dc.date.accessioned2022-10-20T13:09:19Z
dc.date.available2022-10-20T13:09:19Z
dc.descriptionAbstract. Full text article available at https://doi.org/10.1515/eqc-2017-0009
dc.descriptionWe consider the Dagum distribution for estimating the reliability of a k-component stress-strength system with different shape values of the shape parameter. We assume that the system has strength modelled by k independent and identically distributed random variables, and each system’s component experiences random stress. We construct maximum likelihood estimators for the system’s reliability and study their asymptotic properties. We evaluate the small sample performance of the estimators through Monte Carlo simulation. Finally, we illustrate the procedure using real data.
dc.identifierFulment, A. K., Josephat, P. K., & Rao, G. S. (2017). Estimation of reliability in multicomponent stress-strength based on dagum distribution. Stochastics and Quality Control, 32(2), 77-85.
dc.identifierDOI:10.1515/eqc-2017-0009
dc.identifierhttp://hdl.handle.net/20.500.12661/2622
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2622
dc.languageen
dc.publisherWalter de Gruyter GmbH, Berlin
dc.subjectDagum distribution
dc.subjectReliability
dc.subjectStress-strength model
dc.subjectMaximum likelihood estimation
dc.subjectAsymptotic confidence interval
dc.subject62F10
dc.subject62E20
dc.subject62F12
dc.subjectDistribution
dc.subjectStress
dc.titleEstimation of reliability in multicomponent stress-strength based on dagum distribution
dc.typeArticle

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