The log exponential-power distribution: Properties, estimations and quantile regression model
Yükleniyor...
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
MDPI
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Recently, bounded distributions have attracted attention. These distributions are frequently used in modeling rate and proportion data sets. In this study, a new alternative model is proposed for modeling bounded data sets. Parameter estimations of the proposed distribution are obtained via maximum likelihood method. In addition, a new regression model is defined under the proposed distribution and its residual analysis is examined. As a result of the empirical studies on real data sets, it is observed that the proposed regression model gives better results than the unit-Weibull and Kumaraswamy regression models.
Açıklama
Anahtar Kelimeler
Exponential-power distribution, Point estimation, Quantile regression, Residuals, Unit exponential-power distribution
Kaynak
Mathematics
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
9
Sayı
21
Künye
Korkmaz, M. Ç., Altun, E., Alizadeh, M., & El-Morshedy, M. (2021). The Log Exponential-Power Distribution: Properties, Estimations and Quantile Regression Model. Mathematics, 9(21), 2634.
