The log exponential-power distribution: Properties, estimations and quantile regression model

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dc.authorid0000-0003-3302-0705en_US
dc.authorid0000-0001-5065-2523en_US
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.contributor.authorAltun, Emrah
dc.contributor.authorAlizadeh, Morad
dc.contributor.authorEl-Morshedy, Mahmoud
dc.date.accessioned2021-11-29T13:16:57Z
dc.date.available2021-11-29T13:16:57Z
dc.date.issued2021
dc.departmentAÇÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractRecently, bounded distributions have attracted attention. These distributions are frequently used in modeling rate and proportion data sets. In this study, a new alternative model is proposed for modeling bounded data sets. Parameter estimations of the proposed distribution are obtained via maximum likelihood method. In addition, a new regression model is defined under the proposed distribution and its residual analysis is examined. As a result of the empirical studies on real data sets, it is observed that the proposed regression model gives better results than the unit-Weibull and Kumaraswamy regression models.
dc.identifier.citationKorkmaz, M. Ç., Altun, E., Alizadeh, M., & El-Morshedy, M. (2021). The Log Exponential-Power Distribution: Properties, Estimations and Quantile Regression Model. Mathematics, 9(21), 2634.en_US
dc.identifier.doi10.3390/math9212634
dc.identifier.issue21en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11494/3566
dc.identifier.volume9en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofMathematics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectExponential-power distributionen_US
dc.subjectPoint estimationen_US
dc.subjectQuantile regressionen_US
dc.subjectResidualsen_US
dc.subjectUnit exponential-power distributionen_US
dc.titleThe log exponential-power distribution: Properties, estimations and quantile regression modelen_US
dc.typeArticle

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