A new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its application

dc.authorid0000-0003-3302-0705en_US
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.date.accessioned2020-01-03T10:34:30Z
dc.date.available2020-01-03T10:34:30Z
dc.date.issued2020
dc.departmentAÇÜ, Eğitim Fakültesien_US
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.
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.doi10.1080/02664763.2019.1704701
dc.identifier.endpage2119
dc.identifier.issue12
dc.identifier.scopusqualityQ1
dc.identifier.startpage2097
dc.identifier.urihttps://hdl.handle.net/11494/1906
dc.identifier.volume47
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofJournal of Applied Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_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.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
mustafa.caglar.korkmaz.pdf
Boyut:
4.23 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: