Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Parameter Estimation Procedures for Log Exponential-Power Distribution with Real Data Applications
Adiyaman University Journal of Science · Aralık 2022
YÖKSİS Kayıtları
Parameter estimation procedures for log exponential-power distribution with real data applications
Adiyaman University Journal of Science · 2022 TR DİZİN
DOÇENT KADİR KARAKAYA →
Makale Bilgileri
DergiAdiyaman University Journal of Science
Yayın TarihiAralık 2022
Cilt / Sayfa12 · 193-202
Scopus ID2-s2.0-85159425051
Erişim🔓 Açık Erişim
Özet
In this study, some estimation techniques are investigated to estimate two parameters of the log exponential-power distribution. The maximum likelihood, quantile, least squares, weighted least squares, Anderson-Darling, and Cramer-von Mises estimation methods are studied in detail. The efficiency of these estimators is validated through Monte Carlo simulation experiments. Also, four real data applications are performed and Kolmogorov-Smirnov statistic results for all estimators are presented.
Yazarlar (3)
1
Mustafa Korkmaz
2
Kadir Karakaya
3
Yunus Akdoğan
Anahtar Kelimeler
Log exponential-power distribution
Maximum likelihood estimators
Point estimation
Practical data application
Kurumlar
Artvin Coruh University, Turkey
Artvin Turkey
Selçuk Üniversitesi
Selçuklu Turkey