Parameter estimation of some Kumaraswamy-G type distributions
Yükleniyor...
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Heidelberg
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Since Kum-G distributions have additional two parameters, the estimation of parameters becomes an interesting problem by itself. In this study, we consider parameter estimation of Kum-Weibull, Kum-Pareto and Kum-Power distributions by using the maximum likelihood and the maximum spacing methods. These three distributions are important in reliability and other applications. The Kum-Pareto and Kum-Power distributions have parameterdependent boundaries, which makes the estimation of parameters more interesting. We performed simulations for each of these considered distributions by using the R software for estimating parameters using the maximum likelihood and the maximum spacing method. In addition, an application of these distribution families to real data for modeling wind speed in a particular location in Turkey is discussed.
Açıklama
ONCEL, Sevgi YURT/0000-0002-0990-292X; Arslan, Guvenc/0000-0002-4770-2689
Anahtar Kelimeler
Kumaraswamy distribution, Maximum likelihood, Maximum spacing, Parameter estimation, Simulation
Kaynak
Mathematical Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
11
Sayı
2
Künye
Arslan, G., Oncel, S.Y.(2017). Parameter estimation of some Kumaraswamy-G type distributions. Math Sci 11, 131–138.
