The xgamma family: Censored regression modelling and applications

Basit Öğe Kaydı
dc.authorid0000-0003-3302-0705en_US
dc.contributor.authorCordeiro, Gauss M.
dc.contributor.authorAltun, Emrah
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.contributor.authorPescim, Rodrigo R.
dc.contributor.authorAfify, Ahmed Z.
dc.contributor.authorYousof, Haitham M.
dc.date.accessioned2020-11-02T10:31:51Z
dc.date.available2020-11-02T10:31:51Z
dc.date.issued2020
dc.departmentAÇÜ, Eğitim Fakültesien_US
dc.description.abstractIn this paper, a new family of distributions with one extra shape parameter, called the xgamma-G, is proposed. comprehensive treatment of some of its mathematical properties including ordinary and incomplete moments and quantile and generating functions are derived. The unknown model parameters are estimated by the maximum likelihood method and the performance of the maximum likelihood estimators are assessed via two extensive simulation studies. Additionally, the log-location-scale regression model for censored data based on a special member of the family is introduced. The usefulness of the proposed models is illustrated utilizing three real data sets.
dc.identifier.citationCordeiro, G. M., Altun, E., Korkmaz, M. C., Pescim, R. R., Afify, A. Z., & Yousof, H. M. (2020). The xgamma Family: Censored Regression Modelling and Applications. REVSTAT–Statistical Journal, 18(5), 593-612.en_US
dc.identifier.endpage612en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage593en_US
dc.identifier.urihttps://hdl.handle.net/11494/2395
dc.identifier.volume18en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherNational Statistical Instituteen_US
dc.relation.ispartofRevstat Statistical Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCensored dataen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectMomenten_US
dc.subjectRegression modelen_US
dc.subjectXgamma distributionen_US
dc.titleThe xgamma family: Censored regression modelling and applicationsen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
gauss.m.c..pdf
Boyut:
392.59 KB
Biçim:
Adobe Portable Document Format
Açıklama:
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Eğitim Bilimleri Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu