Comparisons of six different estimation methods for log-Kumaraswamy distribution
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
VINCA INST NUCLEAR SCI
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, it is considered the problem of estimation of unknown parameters of log-Kumaraswamy distribution via Monte-Carlo simulations. Firstly, it is described six different estimation methods such as maximum likelihood, approximate bayesian, least-squares, weighted least-squares, percentile, and Cramer-von-Mises. Then, it is performed a Monte-Carlo simulation study to evaluate the performances of these methods according to the biases and mean-squared errors of the estimators. Furthermore, two real data applications based on carbon fibers and the gauge lengths are presented to compare the fits of log-Kumaraswamy and other fitted statistical distributions.
Açıklama
Anahtar Kelimeler
log-Kumaraswamy distribution, maximum likelihood estimation, Cramer-von-Mises estimation method, least-squares estimation, percentile estimation, Monte-Carlo simulation
Kaynak
THERMAL SCIENCE
WoS Q DeÄŸeri
Q3
Scopus Q DeÄŸeri
Cilt
23
Sayı
Künye
TaniÅŸ, C., Saracoglu, B. (2019). Comparisons of Six Different Estimation Methods for Log-Kumaraswamy Distribution. Thermal Science, 23(6), S1839-S1847.
