Research Article
A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application
Table 13
Estimated coefficients, standard errors, and MSE values, COMPRM estimators for Plywood data.
| Estimators | | SE | | SE | | SE | | SE | MSE | CV |
| MLE | 0.4978 | 1.6617 | 0.5970 | 1.5616 | 0.3845 | 1.2254 | 0.7369 | 1.8375 | 8.4929 | 5.5664 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4976 | 2.2159 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4776 | 2.7841 | | 0.5284 | 0.1861 | 0.5632 | 0.2644 | 0.4227 | 0.7732 | 0.6811 | 1.7035 | 3.6162 | 3.6658 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4976 | 2.8547 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4996 | 2.2219 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4976 | 2.0015 | | 0.5603 | 0.1831 | 0.5280 | 0.2558 | 0.4627 | 0.5565 | 0.6229 | 0.6384 | 0.8633 | 3.3556 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4976 | 2.9874 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4956 | 3.3015 | | 0.5700 | 0.1822 | 0.5172 | 0.2531 | 0.4749 | 0.4901 | 0.6050 | 0.3122 | 0.4976 | 2.8541 | | 0.5603 | 0.1831 | 0.5280 | 0.2558 | 0.4627 | 0.5565 | 0.6229 | 0.6384 | 0.8633 | 4.1126 | | 0.5700 | 0.0431 | 0.5172 | 0.0253 | 0.4749 | 0.2901 | 0.6050 | 0.1122 | 0.4476 | 1.1196 |
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Note. SE=Standard Error.
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