Table 23 Estimated MSEs for \(\gamma =4\), p = 6 and \(n=100\). 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)

73.20

132.25

245.28

1231.12

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

57.22

104.53

191.97

964.83

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

44.64

83.46

159.28

826.35

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

3.88

3.83

3.77

3.76

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

3.73

3.85

3.67

3.19

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

3.57

3.45

3.31

3.41

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

4.24

4.57

4.38

3.40

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

4.93

5.49

5.29

3.78

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

5.47

6.07

6.01

4.03

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

4.02

4.02

4.02

4.02

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

61.78

120.65

233.86

1219.09

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

4.02

4.02

4.02

4.02

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

3.81

3.77

3.74

3.74

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

66.15

120.44

224.07

1131.91

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

71.07

128.44

238.24

1197.07

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

3.36

3.31

4.39

30.46

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

3.90

3.93

3.96

3.99