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

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dc.authorid0000-0003-3302-0705en_US
dc.authorid0000-0001-6638-2185en_US
dc.authorid0000-0003-4589-4944en_US
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.contributor.authorAltun, Emrah
dc.contributor.authorAlizadeh, Morad
dc.contributor.authorYousof, Haitham M.
dc.date.accessioned2020-11-23T06:58:00Z
dc.date.available2020-11-23T06:58:00Z
dc.date.issued2019
dc.departmentAÇÜ, Eğitim Fakültesien_US
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.citationKorkmaz, M. Ç., Altun, E., Alizadeh, M., & Yousof, H. M. (2019). A new flexible lifetime model with log-location regression modeling, properties and applications. Journal of Statistics and Management Systems, 22(5), 871-891.en_US
dc.identifier.doi10.1080/09720510.2019.1572980
dc.identifier.endpage891en_US
dc.identifier.issue5en_US
dc.identifier.startpage871en_US
dc.identifier.urihttps://doi.org/10.1080/09720510.2019.1572980
dc.identifier.urihttps://hdl.handle.net/11494/2484
dc.identifier.volume22en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherTaru Publicationen_US
dc.relation.ispartofJournal of Statistics and Management Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeneralized half-normal distributionen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectOdd log-logistic familyen_US
dc.subjectRegression Modelingen_US
dc.titleA new flexible lifetime model with log-location regression modeling, properties and applicationsen_US
dc.typeArticle

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