Table 30 Estimated MSEs for \(\gamma =6\), p = 6 and \(n=200\). 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) | 105.20 | 183.78 | 343.91 | 1659.09 |
MSE (\({k}_{1}\)) | 81.01 | 141.70 | 268.41 | 1314.73 |
MSE (\({k}_{2}\)) | 64.76 | 118.06 | 225.69 | 1122.87 |
MSE (\({k}_{3}\)) | 3.90 | 3.87 | 3.83 | 3.75 |
MSE (\({k}_{4}\)) | 4.33 | 4.18 | 4.08 | 3.36 |
MSE (\({k}_{5}\)) | 4.21 | 3.86 | 3.68 | 3.57 |
MSE (\({k}_{6}\)) | 4.57 | 4.52 | 4.39 | 3.44 |
MSE (\({k}_{7}\)) | 5.60 | 5.78 | 5.62 | 3.86 |
MSE (\({k}_{8}\)) | 5.27 | 5.27 | 5.01 | 3.62 |
MSE (\({k}_{9}\)) | 4.02 | 4.02 | 4.02 | 4.02 |
MSE (\({k}_{10}\)) | 87.87 | 167.19 | 326.49 | 1641.49 |
MSE (\({k}_{11}\)) | 4.02 | 4.02 | 4.02 | 4.02 |
MSE (\({k}_{12}\)) | 3.85 | 3.83 | 3.81 | 3.79 |
MSE (\({k}_{13}\)) | 98.47 | 172.90 | 324.34 | 1570.36 |
MSE (\({k}_{14}\)) | 103.23 | 180.40 | 337.70 | 1629.80 |
MSE (\({k}_{15}\)) | 3.74 | 3.67 | 4.66 | 27.15 |
MSE (\({k}_{16}\)) | 3.91 | 3.94 | 3.96 | 4.00 |
