A lifetime distribution based on a transformation of a two-sided power variate

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dc.authorid0000-0003-3302-0705en_US
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.contributor.authorGenç, Ali I.
dc.date.accessioned2021-09-23T12:12:09Z
dc.date.available2021-09-23T12:12:09Z
dc.date.issued2015
dc.departmentAÇÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractWe introduce a new generalization of Weibull distribution by making use of a transformation of the standard two-sided power distributed random variable. Weibull and the exponentiated Weibull distributions are sub-models of this new distribution. We show that this newly defined distribution is in fact a mixture of the truncated forms of Weibull and the exponentiated Weibull distributions. The new distribution has two shape parameters that make it more flexible for modeling data than Weibull and exponentiated Weibull distributions. We study its properties, consider the maximum likelihood estimation procedure and apply it on some real data sets from reliability.
dc.identifier.citationKorkmaz, M. C., & Genç, A. I. (2015). A Lifetime Distribution Based on a Transformation of a Two-Sided Power Variate. J. Stat. Theory Appl., 14(3), 265-280.en_US
dc.identifier.endpage280en_US
dc.identifier.issue3en_US
dc.identifier.startpage265en_US
dc.identifier.urihttps://hdl.handle.net/11494/3461
dc.identifier.volume14en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherAtlantis Pressen_US
dc.relation.ispartofJournal of Statistical Theory and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeneralized Weibull distributionen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectMixture distributionen_US
dc.subjectReliabilityen_US
dc.subjectTwo-sided power distributionen_US
dc.titleA lifetime distribution based on a transformation of a two-sided power variateen_US
dc.typeArticle

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