Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength

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dc.creatorRao, G. S
dc.creatorAslam, Muhammad
dc.creatorKundu, Debasis
dc.date2020-11-24T14:09:11Z
dc.date2020-11-24T14:09:11Z
dc.date2015
dc.date.accessioned2022-10-20T13:09:18Z
dc.date.available2022-10-20T13:09:18Z
dc.descriptionAbstract. Full text available at https://doi.org/10.1080/03610926.2013.821490
dc.descriptionIn this paper, we estimate multicomponent stress-strength reliability by assuming Burr-XII distribution. The research methodology adopted here is to estimate the parameter using maximum likelihood estimation. Reliability is estimated using the maximum likelihood method of estimation and results are compared using the Monte Carlo simulation for small samples. Using real data sets we illustrate the procedure clearly.
dc.identifierRao, G. S., Aslam, M., & Kundu, D. (2015). Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength. Communications in Statistics-Theory and Methods, 44(23), 4953-4961.
dc.identifierDOI: 10.1080/03610926.2013.821490
dc.identifierhttp://hdl.handle.net/20.500.12661/2590
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2590
dc.languageen
dc.publisherTaylor and Francis
dc.subjectBurr-XII distribution
dc.subjectConfidence intervals
dc.subjectML estimation
dc.subjectReliability estimation
dc.subjectStress-strength
dc.subjectParametric estimation
dc.titleBurr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength
dc.typeArticle

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