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
Primary Language | English |
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Subjects | Statistics |
Journal Section | Natural Sciences |
Authors | |
Publication Date | December 29, 2020 |
Submission Date | July 7, 2020 |
Acceptance Date | October 28, 2020 |
Published in Issue | Year 2020Volume: 41 Issue: 4 |