Makale detayı · 2022
Parameter estimation procedures for log exponential-power distribution with real data applications
Adiyaman University Journal of Science
- Yıl
- 2022
- ISSN
2147-1630- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
İngilizce (OpenAlex)
In this study, some estimation techniques were investigated to estimate of parameters of the log exponential-power distribution. 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 was validated through Monte Carlo simulation experiments. To assess the performance of these estimators, Monte Carlo simulation studies were conducted out. Also, four real data applications are performed and Kolmogorov-Smirnov statistic results for all estimators are presented.
Konular
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Reliability and Maintenance Optimization
Birincil konu Statistical Distribution Estimation and Applications