Table 24 Estimated MSEs for \(\gamma =4\), p = 6 and \(n=150\). 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)

74.48

126.81

240.14

1175.71

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

58.19

99.27

184.92

931.55

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

46.35

81.39

157.25

793.87

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

3.89

3.84

3.80

3.73

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

4.73

4.67

4.34

3.44

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

4.33

3.96

3.65

3.42

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

5.28

5.47

5.13

3.76

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

6.17

6.55

6.28

4.31

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

6.71

7.24

6.93

4.51

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

4.02

4.02

4.02

4.02

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

62.54

115.12

228.19

1163.69

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

4.02

4.02

4.02

4.02

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

3.84

3.81

3.79

3.77

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

67.79

116.02

220.34

1086.53

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

72.52

123.43

233.74

1145.40

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

3.75

3.58

4.15

20.20

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

3.88

3.91

3.94

3.99