Table 3 The different methods of estimations for \((\lambda ,\mu ,\theta ,\gamma )\) using real data.
Estimates | MLE | LSE | WLSE | CVME | ADE | RADE | QE | MPSE |
|---|---|---|---|---|---|---|---|---|
\({\hat{\lambda }}\) | 0.0642 | 0.0908 | 0.0719 | 0.0744 | 0.0970 | 0.1061 | 0.1787 | 0.0841 |
\({\hat{\xi }}\) | 0.3971 | 0.4455 | 0.50002 | 0.5070 | 0.3665 | 0.3474 | 0.27004 | 0.3572 |
\({\hat{\varphi }}\) | 3.3623 | 1.6357 | 1.7469 | 1.6372 | 1.9911 | 2.1199 | 2.3421 | 2.7257 |