Table 26 Estimated MSEs for \(\gamma =6\), p = 6 and \(n=25\). 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) | 10,699.31 | 5363.77 | 24,305.02 | 4,600,807.50 |
MSE (\({k}_{1}\)) | 10,499.65 | 4777.43 | 23,548.71 | 4,586,701.24 |
MSE (\({k}_{2}\)) | 10,371.97 | 4824.64 | 23,303.58 | 4,559,009.54 |
MSE (\({k}_{3}\)) | 3.87 | 7.12 | 6.34 | 13.21 |
MSE (\({k}_{4}\)) | 3.59 | 3.36 | 3.38 | 3.57 |
MSE (\({k}_{5}\)) | 27.23 | 8.36 | 30.51 | 67.37 |
MSE (\({k}_{6}\)) | 6.27 | 4.61 | 4.71 | 3.57 |
MSE (\({k}_{7}\)) | 31.20 | 12.39 | 34.34 | 86.94 |
MSE (\({k}_{8}\)) | 7.00 | 5.31 | 5.42 | 3.74 |
MSE (\({k}_{9}\)) | 9498.04 | 686.75 | 9803.50 | 4,581,285.97 |
MSE (\({k}_{10}\)) | 10,659.59 | 5335.16 | 24,280.68 | 4,588,957.33 |
MSE (\({k}_{11}\)) | 4.02 | 7.31 | 6.16 | 4.02 |
MSE (\({k}_{12}\)) | 3.72 | 3.71 | 3.73 | 3.82 |
MSE (\({k}_{13}\)) | 1013.29 | 4561.93 | 14,310.77 | 6994.35 |
MSE (\({k}_{14}\)) | 1118.43 | 4628.56 | 14,433.48 | 7774.15 |
MSE (\({k}_{15}\)) | 35.27 | 206.39 | 455.05 | 405.12 |
MSE (\({k}_{16}\)) | 3.98 | 3.99 | 4.00 | 4.01 |
