A novel chen extension: Theory, characterizations and different estimation methods
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Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ada Academica
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this work, we derive a novel extension of Chen distribution. Some statistical properties of the new model are derived. Numerical analysis for mean, variance, skewness and kurtosis is presented. Some characterizations of the proposed distribution are presented. Different classical estimation methods under uncensored schemes such as the maximum likelihood, Anderson-Darling, weighted least squares and right-tail Anderson–Darling methods are considered. Simulation studies are performed in order to compare and assess the above-mentioned estimation methods. For comparing the applicability of the four classical methods, two application to real data set are analyzed.
Açıklama
Anahtar Kelimeler
Anderson-Darling, Characterizations, Chen model, Statistical modeling, Weighted least squares
Kaynak
European Journal of Statistics
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
2
