The type II quasi lambert G family of probability distributions
Yükleniyor...
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
UNIV PUNJAB
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Probability distributions and their families play an effective role in statistical modeling and statistical analysis. Recently, researchers have been increasingly interested in generating new families with high flexibility and low number of milestones. We propose and study a new family of continuous distributions. Relevant properties are presented. Many bivariate versions of the new family are derived under the Farlie-Gumbel-Morgenstern copula, modified Farlie-Gumbel-Morgenstern copula, Clayton copula, entropy copula and Ali-Mikhail-Haq copula. We present two characterizations of the new family. Different estimation methods such as the maximum likelihood estimation, maximum product spacing estimation, least squares estimation, weighted least squares estimation, Anderson-Darling estimation and the Cramer-von Mises estimation methods are considered. Simulation studies for comparing estimation methods are performed based on the baseline Lindley model. Two real data sets are analyzed for comparing the competitive models.
Açıklama
Anahtar Kelimeler
Characterizations, Maximum product spacing, Maximum likelihood, Clayton copula, Anderson-darling estimation, Ali-Mikhail-Haq Copula
Kaynak
Pakistan Journal Of Statistics And Operation Research
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
18
Sayı
4
Künye
Hamedani, G. G., Korkmaz, M. C., Butt, N. S., & Yousof, H. M. (2022). The Type II Quasi Lambert Family. Pakistan Journal of Statistics and Operation Research, 963–983.
