An alternative distribution to lindley and power lindley distributions with characterizations, different estimation methods and data applications
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Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Walter De Gruyter Gmbh
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper proposes a new extended Lindley distribution, which has a more flexible density and hazard rate shapes than the Lindley and Power Lindley distributions, based on the mixture distribution structure in order to model with new distribution characteristics real data phenomena. Its some distributional properties such as the shapes, moments, quantile function, Bonferonni and Lorenz curves, mean deviations and order statistics have been obtained. Characterizations based on two truncated moments, conditional expectation as well as in terms of the hazard function are presented. Different estimation procedures have been employed to estimate the unknown parameters and their performances are compared via Monte Carlo simulations. The flexibility and importance of the proposed model are illustrated by two real data sets.
Açıklama
Anahtar Kelimeler
Lindley distribution, Extended Weibull distribution, Generalized Power Lindley distribution, Non-monotone hazard rate, Characterizations
Kaynak
Mathematica Slovaca
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
70
Sayı
4
Künye
Korkmaz, M. C., & Hamedani, G. G. (2020). An alternative distribution to Lindley and Power Lindley distributions with characterizations, different estimation methods and data applications. Mathematica Slovaca, 70(4), 953-978. doi: 10.1515/ms-2017-0406
