Table 25 Estimated MSEs for \(\gamma =4\), p = 6 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)

73.61

125.90

235.38

1125.75

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

56.61

98.17

181.70

886.62

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

46.07

81.18

154.47

761.00

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

3.91

3.87

3.83

3.77

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

5.48

5.53

5.25

3.84

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

5.07

4.70

4.30

3.53

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

5.98

6.25

5.98

4.18

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

6.85

7.36

7.15

4.73

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

7.46

8.17

7.80

5.01

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

4.02

4.02

4.02

4.02

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

61.53

113.67

223.26

1113.51

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

4.02

4.02

4.02

4.02

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

3.86

3.84

3.82

3.79

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

67.04

115.26

216.48

1041.61

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

71.73

122.69

229.35

1097.64

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

4.11

3.93

4.08

12.73

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

3.88

3.90

3.93

3.99