Table 11 Estimated MSEs for \(\gamma =6\), p = 3 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)

391.26

170.79

35,737.33

1984.19

MSE (\({k}_{1}\))

330.39

117.40

35,636.52

1511.99

MSE (\({k}_{2}\))

296.87

98.87

35,563.03

1299.81

MSE (\({k}_{3}\))

3.88

3.83

3.81

4.18

MSE (\({k}_{4}\))

3.49

3.42

3.47

3.69

MSE (\({k}_{5}\))

3.78

3.56

10.23

3.79

MSE (\({k}_{6}\))

3.56

3.44

3.40

3.54

MSE (\({k}_{7}\))

4.03

3.81

15.15

3.57

MSE (\({k}_{8}\))

3.56

3.44

3.43

3.61

MSE (\({k}_{9}\))

147.10

4.00

35,398.72

4.00

MSE (\({k}_{10}\))

378.73

160.02

35,717.34

1971.73

MSE (\({k}_{11}\))

4.00

4.00

4.00

4.00

MSE (\({k}_{12}\))

3.80

3.78

3.79

3.85

MSE (\({k}_{13}\))

236.25

149.79

302.05

1769.03

MSE (\({k}_{14}\))

242.98

159.90

322.21

1863.72

MSE (\({k}_{15}\))

12.53

4.97

8.25

44.18

MSE (\({k}_{16}\))

3.93

3.95

3.97

3.99