An Extended UEHL Distribution: Properties and Applications

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dc.contributor.authorGenç, Murat
dc.contributor.authorÖzbilen, Ömer
dc.date.accessioned2025-03-17T12:19:44Z
dc.date.available2025-03-17T12:19:44Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractThis study introduces a new distribution, a Lehmann-type exponentiated distribution, which is built upon the unit exponentiated half-logistic distribution. The analytical characteristics of the proposed distribution, like moments, moment-generating function, quantiles, and stress-strength reliability, are explored in detail. The renowned maximum likelihood estimation method is employed for the statistical inference of the distribution’s parameters. A computer experiment is run to explore the performance of the maximum likelihood estimates of the distribution parameters under diverse scenarios. Additionally, the practicality and efficacy of the distribution are illustrated through a numerical example using a real-world dataset.
dc.identifier.doi10.18466/cbayarfbe.1435139
dc.identifier.endpage44
dc.identifier.issn1305-130X
dc.identifier.issn1305-1385
dc.identifier.issue2
dc.identifier.startpage37
dc.identifier.trdizinid1245476
dc.identifier.urihttps://doi.org/10.18466/cbayarfbe.1435139
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1245476
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1125
dc.identifier.volume20
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofCelal Bayar Üniversitesi Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250316
dc.subjectReliability
dc.subjectMaximum likelihood estimator
dc.subjectUEHL distribution
dc.subjectExponentiated family
dc.subjectG-family
dc.titleAn Extended UEHL Distribution: Properties and Applications
dc.typeArticle

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