Table 9 Estimated MSEs for \(\gamma =4\), p = 3 and \(n=150\). Bold value indicates minimum MSE.
From: New ridge parameter estimators for the quasi-Poisson ridge regression model
\(\rho\) | 0.8 | 0.9 | 0.95 | 0.99 |
|---|---|---|---|---|
MSE (MLE) | 32.38 | 53.63 | 97.83 | 466.30 |
MSE (\({k}_{1}\)) | 23.09 | 37.75 | 68.41 | 335.88 |
MSE (\({k}_{2}\)) | 18.90 | 31.89 | 59.82 | 298.55 |
MSE (\({k}_{3}\)) | 3.91 | 3.89 | 3.85 | 3.78 |
MSE (\({k}_{4}\)) | 4.92 | 4.91 | 4.71 | 4.01 |
MSE (\({k}_{5}\)) | 5.08 | 4.88 | 4.50 | 3.81 |
MSE (\({k}_{6}\)) | 4.67` | 4.88 | 4.75 | 4.18 |
MSE (\({k}_{7}\)) | 4.89 | 4.91 | 4.77 | 4.24 |
MSE (\({k}_{8}\)) | 4.88 | 4.90 | 4.73 | 4.11 |
MSE (\({k}_{9}\)) | 4.00 | 4.00 | 4.00 | 4.00 |
MSE (\({k}_{10}\)) | 23.90 | 45.06 | 88.96 | 456.50 |
MSE (\({k}_{11}\)) | 4.00 | 4.00 | 4.00 | 4.00 |
MSE (\({k}_{12}\)) | 3.88 | 3.87 | 3.86 | 3.86 |
MSE (\({k}_{13}\)) | 28.62 | 47.64 | 87.16 | 417.31 |
MSE (\({k}_{14}\)) | 30.78 | 50.88 | 92.64 | 441.85 |
MSE (\({k}_{15}\)) | 4.21 | 4.09 | 3.91 | 4.51 |
MSE (\({k}_{16}\)) | 3.93 | 3.88 | 3.88 | 3.95 |
