A generalized skew slash distribution via gamma-normal distribution

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dc.authorid0000-0003-3302-0705en_US
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.date.accessioned2021-04-29T09:53:28Z
dc.date.available2021-04-29T09:53:28Z
dc.date.issued2017
dc.departmentAÇÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractIn this article, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis and skewness than the slash distribution. Basic properties of the new distribution are studied. We derive the maximum likelihood estimators of its parameters and apply the distribution to a real dataset.
dc.identifier.citationKorkmaz, M. Ç. (2017). A generalized skew slash distribution via gamma-normal distribution. Communications in Statistics-Simulation and Computation, 46(2), 1647-1660.en_US
dc.identifier.doi10.1080/03610918.2015.1010001
dc.identifier.endpage1660en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage1647en_US
dc.identifier.urihttps://hdl.handle.net/11494/3180
dc.identifier.volume46en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofCommunications in Statistics - Simulation and Computation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGamma-normal distributionen_US
dc.subjectHeavy tailed distributionen_US
dc.subjectSlash distributionen_US
dc.subjectSlashed gamma-normal distributionen_US
dc.subject62E10en_US
dc.subject62F10en_US
dc.titleA generalized skew slash distribution via gamma-normal distributionen_US
dc.typeArticle

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