Zobrazit minimální záznam

dc.contributor.authorThach, Tien Thanh
dc.contributor.authorBriš, Radim
dc.date.accessioned2020-10-09T10:12:46Z
dc.date.available2020-10-09T10:12:46Z
dc.date.issued2020
dc.identifier.citationQuality and Reliability Engineering International. 2020.cs
dc.identifier.issn0748-8017
dc.identifier.issn1099-1638
dc.identifier.urihttp://hdl.handle.net/10084/142285
dc.description.abstractIn this article, we introduce a new lifetime distribution with increasing and bathtub-shaped failure rates. Some statistical properties of the proposed distribution are studied. We use the method of maximum likelihood for estimating the model parameters and reliability characteristics and discuss the interval estimates using asymptotic confidence intervals and bootstrap confidence intervals on one hand, and we provide Bayes estimators and highest posterior density intervals for the parameters via Hamiltonian Monte Carlo simulation method on the other hand. We demonstrate the superiority of the proposed distribution by fitting two reliability data sets well-known from references.cs
dc.language.isoencs
dc.publisherWileycs
dc.relation.ispartofseriesQuality and Reliability Engineering Internationalcs
dc.relation.urihttp://doi.org/10.1002/qre.2740cs
dc.rights© 2020 John Wiley & Sons, Ltd.cs
dc.subjectBayes estimatorscs
dc.subjectbootstrappingcs
dc.subjectChen distributioncs
dc.subjectcross-entropy methodcs
dc.subjectfailure rate functioncs
dc.subjectHamiltonian Monte Carlocs
dc.subjectmaximum likelihood estimatorscs
dc.subjectWeibull distributioncs
dc.titleAn additive Chen-Weibull distribution and its applications in reliability modelingcs
dc.typearticlecs
dc.identifier.doi10.1002/qre.2740
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.identifier.wos000561248700001


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