| publication name | Mixture of Exponentiated Frechet Distribution |
|---|---|
| Authors | M.M. Badr and A.I. Shawky |
| year | 2014 |
| keywords | Exponentiated Frechet distribution (EFD); Maximum likelihood estimation; Bayes estimation; quadratic loss function; LINEX loss function. |
| journal | Life Science Journal |
| volume | 11 |
| issue | 3 |
| pages | 392-404 |
| publisher | Not Available |
| Local/International | International |
| Paper Link | Not Available |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
Abstract: In this paper, we will discuss the problem of estimating the parameters, reliability and failure rate functions of the finite mixture of two components from exponentiated Frechet distributions (MEFD). The maximum likelihood estimation (MLE) and Bayes methods of estimation are used. An approximation form due to Lindley (1980) is used for deriving the Bayes estimates under the squared error loss (quadratic loss) and LINEX loss functions. Through Monte Carlo simulation, the mean square errors (MSE'S) of the estimators are computed and compared between them.