Exponentiated UEHL Distribution: Properties and Applications

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dc.contributor.authorGenç, Murat
dc.contributor.authorÖzbilen, Ömer
dc.date.accessioned2025-03-17T12:18:33Z
dc.date.available2025-03-17T12:18:33Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description.abstractIn this paper, we propose a distribution for modeling data defined on a unit interval using an exponentiated transformation. The new distribution is based on the unit exponential half-logistic distribution, a member of proportional hazard models. Several measures of the statistical characterization of the distribution are discussed. The statistical inference of the parameters of the proposed distribution is studied by the maximum likelihood method. To explore the properties of the maximum likelihood estimates of the parameters, simulation studies are carried out under various scenarios. Furthermore, a real dataset is analyzed to demonstrate the performance of the distribution.
dc.identifier.doi10.53501/rteufemud.1388416
dc.identifier.endpage241
dc.identifier.issn2687-2315
dc.identifier.issn2757-7686
dc.identifier.issue2
dc.identifier.startpage232
dc.identifier.trdizinid1220293
dc.identifier.urihttps://doi.org/10.53501/rteufemud.1388416
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1220293
dc.identifier.urihttps://hdl.handle.net/20.500.13099/843
dc.identifier.volume4
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofRecep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250316
dc.subjectMaximum likelihood estimator
dc.subjectgoodness of fit
dc.subjectUEHL distribution
dc.subjectExponentiated distribution
dc.titleExponentiated UEHL Distribution: Properties and Applications
dc.typeArticle

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