Table 29 Estimated MSEs for \(\gamma =6\), p = 6 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) | 105.17 | 186.90 | 354.16 | 1739.52 |
MSE (\({k}_{1}\)) | 80.47 | 147.63 | 274.28 | 1360.92 |
MSE (\({k}_{2}\)) | 64.58 | 119.62 | 232.60 | 1172.24 |
MSE (\({k}_{3}\)) | 3.90 | 3.84 | 3.81 | 3.74 |
MSE (\({k}_{4}\)) | 3.88 | 3.74 | 3.61 | 3.24 |
MSE (\({k}_{5}\)) | 3.80 | 3.52 | 3.44 | 3.56 |
MSE (\({k}_{6}\)) | 4.18 | 4.13 | 3.96 | 3.31 |
MSE (\({k}_{7}\)) | 5.22 | 5.42 | 5.19 | 3.77 |
MSE (\({k}_{8}\)) | 4.90 | 4.95 | 4.62 | 3.50 |
MSE (\({k}_{9}\)) | 4.02 | 4.02 | 4.02 | 4.02 |
MSE (\({k}_{10}\)) | 88.61 | 169.93 | 337.05 | 1721.84 |
MSE (\({k}_{11}\)) | 4.02 | 4.02 | 4.02 | 4.02 |
MSE (\({k}_{12}\)) | 3.84 | 3.80 | 3.78 | 3.77 |
MSE (\({k}_{13}\)) | 98.21 | 175.37 | 333.40 | 1643.82 |
MSE (\({k}_{14}\)) | 103.09 | 183.30 | 347.46 | 1707.36 |
MSE (\({k}_{15}\)) | 3.49 | 3.62 | 5.49 | 39.70 |
MSE (\({k}_{16}\)) | 3.93 | 3.95 | 3.97 | 4.00 |
