A new flexible lifetime model with log-location regression modeling, properties and applications

dc.contributor.authorKorkmaz, Mustafa C.
dc.contributor.authorAltun, Emrah
dc.contributor.authorAlizadeh, Morad
dc.contributor.authorYousof, Haitham M.
dc.date.accessioned2025-10-18T13:25:05Z
dc.date.created2019
dc.date.issued2019
dc.departmentFakülteler, Fen Fakültesi, Matematik Bölümü
dc.description.abstractIn this paper, we propose a new lifetime model for modeling fatigue lifetime data. Some of its statistical properties are obtained. The method of maximum likelihood is used to estimate the model parameters. Simulation study is given to demonstrate the maximum likelihood estimators of the parameters of proposed model. Moreover, a new log-location-scale regression model is introduced with its residuals analysis. Three applications to real data sets are given to prove the usefulness of proposed model in real data modeling.
dc.identifier.doi10.1080/09720510.2019.1572980
dc.identifier.endpage891
dc.identifier.issn0972-0510
dc.identifier.issn2169-0014
dc.identifier.issue5
dc.identifier.orcidkorkmaz, mustafa cagatay/0000-0003-3302-0705;
dc.identifier.startpage871
dc.identifier.urihttps://doi.org/10.1080/09720510.2019.1572980
dc.identifier.urihttps://hdl.handle.net/11772/23274
dc.identifier.volume22
dc.identifier.wosWOS:000465797200001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherTaru Publications
dc.relation.ispartofJournal of Statistics & Management Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20251016
dc.subjectGeneralized Half-Normal Distribution
dc.subjectMaximum Likelihood Estimation
dc.subjectOdd Log-Logistic Family
dc.subjectRegression Modeling
dc.titleA new flexible lifetime model with log-location regression modeling, properties and applications
dc.typeArticle
dspace.entity.typePublication

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