Akash distribution is a mixture of an exponential distribution and a gamma distribution with certain mixing proportions. Although the maximum likelihood estimation method has been proposed for the Akash distribution, there is no comprehensive comparison of different methods of estimation in the literature. This study provides five different methods of estimation, such as maximum likelihood, least-squares, weighted least-squares, Anderson-Darling, and Crámer–von-Mises for Akash distribution. We consider a comprehensive Monte Carlo simulation study to compare the performances of these methods via the biases and mean-squared errors of these estimators. Also, a real data application is performed.
Akash distribution Maximum likelihood method Least-squares method weighted Least-squares method Crámer–von-Mises estimation method
Birincil Dil | İngilizce |
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Konular | İstatistik |
Bölüm | Natural Sciences |
Yazarlar | |
Yayımlanma Tarihi | 29 Aralık 2020 |
Gönderilme Tarihi | 7 Temmuz 2020 |
Kabul Tarihi | 28 Ekim 2020 |
Yayımlandığı Sayı | Yıl 2020 |