The type I quasi lambert family: properties, characterizations and different estimation methods
Yükleniyor...
Dosyalar
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Univ Punjab
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
A new G family of probability distributions called the type I quasi Lambert family is defined and applied for modeling real lifetime data. Some new bivariate type G families using "Farlie-Gumbel-Morgenstern copula", "modified Farlie-Gumbel-Morgenstern copula", "Clayton copula" and "Renyi's entropy copula" are derived. Three characterizations of the new family are presented. Some of its statistical properties are derived and studied. The maximum likelihood estimation, maximum product spacing estimation, least squares estimation, Anderson-Darling estimation and Cramer-von Mises estimation methods are used for estimating the unknown parameters. Graphical assessments under the five different estimation methods are introduced. Based on these assessments, all estimation methods perform well. Finally, an application to illustrate the importance and flexibility of the new family is proposed
Açıklama
Anahtar Kelimeler
Characterizations, Copula, Maximum Product Spacing, Maximum Likelihood, Anderson-Darling Estimation
Kaynak
Pakistan Journal of Statistics and Operation Research
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
17
Sayı
3
Künye
Hamedani, G. G., Korkmaz, M. Ç., & Yousof, H. M. (2021). The type I quasi lambert family: properties, characterizations and different estimation methods. Pakistan Journal of Statistics and Operation Research, 17(3), 545-558.
