Table 14 Estimated MSEs for \(\gamma =6\), 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) | 45.63 | 75.75 | 142.13 | 683.71 |
MSE (\({k}_{1}\)) | 31.72 | 51.97 | 98.42 | 488.66 |
MSE (\({k}_{2}\)) | 25.56 | 43.79 | 86.61 | 440.52 |
MSE (\({k}_{3}\)) | 3.90 | 3.88 | 3.85 | 3.77 |
MSE (\({k}_{4}\)) | 4.37 | 4.26 | 4.14 | 3.70 |
MSE (\({k}_{5}\)) | 4.47 | 4.19 | 3.97 | 3.74 |
MSE (\({k}_{6}\)) | 4.28 | 4.20 | 4.13 | 3.73 |
MSE (\({k}_{7}\)) | 4.26 | 4.20 | 4.17 | 3.78 |
MSE (\({k}_{8}\)) | 4.33 | 4.23 | 4.12 | 3.71 |
MSE (\({k}_{9}\)) | 4.00 | 4.00 | 4.00 | 4.00 |
MSE (\({k}_{10}\)) | 33.94 | 63.69 | 129.32 | 669.99 |
MSE (\({k}_{11}\)) | 4.00 | 4.00 | 4.00 | 4.00 |
MSE (\({k}_{12}\)) | 3.87 | 3.87 | 3.86 | 3.86 |
MSE (\({k}_{13}\)) | 41.72 | 69.43 | 130.86 | 632.26 |
MSE (\({k}_{14}\)) | 43.91 | 72.80 | 136.71 | 658.14 |
MSE (\({k}_{15}\)) | 3.96 | 3.80 | 3.73 | 6.23 |
MSE (\({k}_{16}\)) | 3.88 | 3.88 | 3.91 | 3.97 |
