Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Comparisons of six different estimation methods for log-Kumaraswamy distribution
Thermal Science · Ocak 2019
YÖKSİS Kayıtları
Comparisons of six different estimation methods for log-Kumaraswamy distribution
Thermal Science · 2019 SCI-Expanded
PROFESÖR BUĞRA SARAÇOĞLU →
Makale Bilgileri
DergiThermal Science
Yayın TarihiOcak 2019
Cilt / Sayfa23 · S1839-S1847
Scopus ID2-s2.0-85084061826
Erişim🔓 Açık Erişim
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.
Yazarlar (2)
1
Caner Tanış
2
Buğra Saraçoğlu
Anahtar Kelimeler
Cramer-von-mises estimation method
Least-squares estimation
Log-kumaraswamy distribution
Maximum likelihood estimation
Monte-carlo simulation
Percentile estimation
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
3
Atıf
2
Yazar
6
Anahtar Kelime