The Generalized Kumaraswamy-G Family of Distributions

dc.contributor.authorNofal, Zohdy M.
dc.contributor.authorAltun, Emrah
dc.contributor.authorAfify, Ahmed Z.
dc.contributor.authorAhsanullah, M.
dc.date.accessioned2025-10-18T10:05:17Z
dc.date.created2019
dc.date.issued2019
dc.departmentFakülteler, Fen Fakültesi, Matematik Bölümü
dc.description.abstractWe propose a new class of continuous distributions called the generalized Kumaraswamy-G family which extends the Kumaraswamy-G family defined by Cordeiro and de Castro [1]. Some special models of the new family are provided. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, Renyi entropy, order statistics and characterizations are derived. The new location-scale regression model is introduced based on the new generated distribution. The maximum likelihood is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets. (C) 2019 The Authors. Published by Atlantis Press SARL.
dc.identifier.doi10.2991/jsta.d.191030.001
dc.identifier.endpage342
dc.identifier.issn1538-7887
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85118920136
dc.identifier.scopusqualityN/A
dc.identifier.startpage329
dc.identifier.urihttps://doi.org/10.2991/jsta.d.191030.001
dc.identifier.urihttps://hdl.handle.net/11772/21171
dc.identifier.volume18
dc.identifier.wosWOS:000501574000001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAtlantis Press
dc.relation.ispartofJournal of Statistical Theory and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWoS_20251016
dc.subjectKumaraswamy-G Family
dc.subjectMaximum Likelihood
dc.subjectOrder Statistics
dc.subjectRegression
dc.titleThe Generalized Kumaraswamy-G Family of Distributions
dc.typeArticle
dspace.entity.typePublication

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