Table 2 Estimated MSEs for \(\gamma =2\), p = 3 and \(n=50\). 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)

20.08

34.21

64.44

300.33

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

14.99

25.25

46.53

221.37

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

12.25

20.48

39.22

191.61

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

3.81

3.76

3.72

3.62

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

3.79

3.73

3.75

3.42

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

3.89

3.77

3.76

3.45

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

3.83

3.81

3.92

3.48

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

3.85

3.82

3.93

3.49

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

3.91

3.92

4.02

3.53

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

4.16

4.00

4.00

4.00

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

15.22

28.91

58.64

293.80

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

4.00

4.00

4.00

4.00

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

3.83

3.81

3.80

3.81

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

15.81

26.94

51.50

244.28

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

18.33

30.88

58.04

270.35

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

3.65

3.46

3.37

5.00

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

3.80

3.80

3.85

3.94