Table 22 Estimated MSEs for \(\gamma =4\), p = 6 and \(n=50\). 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) | 85.06 | 152.04 | 301.30 | 1481.69 |
MSE (\({k}_{1}\)) | 66.84 | 119.97 | 232.90 | 1145.13 |
MSE (\({k}_{2}\)) | 51.27 | 95.37 | 193.43 | 979.51 |
MSE (\({k}_{3}\)) | 3.85 | 3.79 | 3.74 | 3.87 |
MSE (\({k}_{4}\)) | 3.17 | 3.25 | 3.25 | 3.17 |
MSE (\({k}_{5}\)) | 3.06 | 3.03 | 3.12 | 3.40 |
MSE (\({k}_{6}\)) | 3.90 | 4.25 | 4.19 | 3.47 |
MSE (\({k}_{7}\)) | 4.88 | 5.62 | 5.58 | 4.18 |
MSE (\({k}_{8}\)) | 5.19 | 5.80 | 5.71 | 4.27 |
MSE (\({k}_{9}\)) | 4.02 | 4.02 | 4.02 | 4.02 |
MSE (\({k}_{10}\)) | 72.97 | 139.71 | 288.48 | 1468.52 |
MSE (\({k}_{11}\)) | 4.02 | 4.02 | 4.02 | 4.02 |
MSE (\({k}_{12}\)) | 3.74 | 3.69 | 3.67 | 3.71 |
MSE (\({k}_{13}\)) | 75.50 | 136.12 | 270.95 | 1342.56 |
MSE (\({k}_{14}\)) | 82.09 | 146.83 | 291.06 | 1433.17 |
MSE (\({k}_{15}\)) | 3.00 | 3.79 | 7.86 | 58.93 |
MSE (\({k}_{16}\)) | 3.93 | 3.95 | 3.97 | 4.00 |
