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SCI-Expanded JCR Q2 Özgün Makale Scopus
Cubic rank transmuted generalized Gompertz distribution: properties and applications
Journal of Applied Statistics 2023 Cilt 50 Sayı 1
Scopus Eşleşmesi Bulundu
1
Atıf
50
Cilt
195-213
Sayfa
Scopus Yazarları: Caner Tanış, Buğra Saraçoğlu
Özet
In this paper, we introduce a new lifetime distribution as an alternative to generalized Gompertz, Gompertz distribution and its modified ones. This new distribution is a special case of the family of distributions introduced by Granzotto et al. [D.C.T. Granzotto, F. Louzada and N. Balakrishnan, Cubic rank transmuted distributions: inferential issues and applications., J. Stat. Comput. Simul. 87 (2017), pp. 2760–2778]. We obtain some characteristic properties of suggested distribution such as hazard function, ordinary moments, coefficient of skewness, coefficient of kurtosis, moment generating function, quantile function and median. We discuss three different methods of estimation to estimate the parameters of proposed distribution. A comprehensive Monte Carlo simulation study is performed in order to compare the performances of estimators according to mean square errors and biases. Finally, three real data applications are performed to illustrate usefulness of suggested distribution.
Anahtar Kelimeler (Scopus)
least-square estimation maximum product spacing estimation Cubic rank transmuted generalized gompertz distribution Monte Carlo simulation cubic rank transmutation map

Anahtar Kelimeler

least-square estimation maximum product spacing estimation Cubic rank transmuted generalized gompertz distribution Monte Carlo simulation cubic rank transmutation map

Makale Bilgileri

Dergi Journal of Applied Statistics
ISSN 0266-4763
Yıl 2023 / 1. ay
Cilt / Sayı 50 / 1
Sayfalar 195 – 213
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
JCR Quartile Q2
TEŞV Puanı 1152,00
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 2 kişi
Erişim Türü Basılı+Elektronik
Erişim Linki Makaleye Git
Alan Fen Bilimleri ve Matematik Temel Alanı İstatistik Olasılık ve Stokastik Süreçler Teorik İstatistik

YÖKSİS Yazar Kaydı

Yazar Adı TANIŞ CANER, SARAÇOĞLU BUĞRA
YÖKSİS ID 7708979

Metrikler

Scopus Atıf 1
JCR Quartile Q2
TEŞV Puanı 1152,00
Yazar Sayısı 2