Table 10 Estimated MSEs for \(\gamma =4\), p = 3 and \(n=200\). 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)

32.45

51.51

93.33

431.09

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

23.12

36.67

64.93

310.53

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

19.56

31.01

57.17

278.42

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

3.93

3.92

3.89

3.83

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

5.92

5.82

5.59

4.54

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

6.07

5.75

5.26

4.04

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

5.86

5.80

5.64

4.83

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

5.90

5.83

5.68

4.94

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

5.88

5.80

5.62

4.68

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

4.00

4.00

4.00

4.00

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

24.15

43.09

84.54

422.08

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

4.00

4.00

4.00

4.00

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

3.89

3.88

3.88

3.87

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

28.91

45.93

83.46

388.62

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

30.96

48.97

88.56

409.24

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

4.51

4.42

4.28

4.33

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

4.10

3.95

3.89

3.94