Table 16 Estimated MSEs for \(\gamma =2\), 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)

76.14

150.55

299.74

1618.96

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

58.88

115.88

231.17

1221.04

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

44.03

88.93

183.05

1003.77

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

3.77

3.71

3.66

4.46

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

2.96

3.03

3.00

3.22

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

3.01

3.12

3.16

3.28

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

4.38

4.91

4.85

3.67

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

5.54

6.72

6.90

4.90

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

5.87

6.72

6.80

4.73

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

4.05

4.02

4.02

4.02

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

68.03

141.44

290.08

1608.90

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

4.02

4.02

4.02

4.02

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

3.65

3.61

3.61

3.70

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

59.99

119.01

239.52

1304.66

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

70.31

138.27

275.68

1488.70

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

2.96

4.42

9.94

77.98

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

3.90

3.94

3.96

4.00