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

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dc.contributor.authorFulment, Arnold K.
dc.contributor.authorJosephat, Peter K.
dc.contributor.authorRao, Gadde Srinivasa
dc.date.accessioned2020-11-25T08:29:02Z
dc.date.available2020-11-25T08:29:02Z
dc.date.issued2017
dc.descriptionAbstract. Full text article available at https://doi.org/10.1515/eqc-2017-0009en_US
dc.description.abstractWe 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.en_US
dc.identifier.citationFulment, 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.en_US
dc.identifier.otherDOI:10.1515/eqc-2017-0009
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2622
dc.language.isoenen_US
dc.publisherWalter de Gruyter GmbH, Berlinen_US
dc.subjectDagum distributionen_US
dc.subjectReliabilityen_US
dc.subjectStress-strength modelen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectAsymptotic confidence intervalen_US
dc.subject62F10en_US
dc.subject62E20en_US
dc.subject62F12en_US
dc.subjectDistributionen_US
dc.subjectStressen_US
dc.titleEstimation of reliability in multicomponent stress-strength based on dagum distributionen_US
dc.typeArticleen_US
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