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dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.date.accessioned2020-01-03T10:34:30Z
dc.date.available2020-01-03T10:34:30Z
dc.date.issued2020en_US
dc.identifier.citationKorkmaz, M. Ç. (2020): A new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its application, Journal of Applied Statistics, 47(12), 2097-2119, DOI: 10.1080/02664763.2019.1704701en_US
dc.identifier.urihttps://hdl.handle.net/11494/1906
dc.description.abstractThis paper proposes a new heavy-tailed and alternative slash type distribution on a bounded interval via a relation of a slash random variable with respect to the standard logistic function to model the real data set with skewed and high kurtosis which includes the outlier observation. Some basic statistical properties of the newly defined distribution are studied. We derive the maximum likelihood, least-square, and weighted least-square estimations of its parameters. We assess the performance of the estimators of these estimation methods by the simulation study. Moreover, an application to real data demonstrates that the proposed distribution can provide a better fit than well-known bounded distributions in the literature when the skewed data set with high kurtosis contains the outlier observations.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francis Incen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectLogit slash distributionen_US
dc.subjectUnit slash distributionen_US
dc.subjectHeavy taileden_US
dc.subjectLogistic functionen_US
dc.subjectOutlieren_US
dc.titleA new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its applicationen_US
dc.typearticleen_US
dc.relation.journalJournal of Applied Statisticsen_US
dc.departmentAÇÜ, Eğitim Fakültesien_US
dc.authorid0000-0003-3302-0705en_US
dc.identifier.volume47
dc.identifier.issue12
dc.identifier.startpage2097
dc.identifier.endpage2119
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1080/02664763.2019.1704701en_US
dc.contributor.institutionauthorKorkmaz, Mustafa Çağatayen_US


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