Table 6 Estimated MSEs for \(\gamma =4\), p = 3 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)

53.50

114.96

217.19

1133.97

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

39.72

84.54

152.68

824.22

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

28.95

67.72

129.65

705.63

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

3.85

3.80

3.78

4.00

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

3.36

3.33

3.38

3.61

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

3.46

3.43

3.49

3.69

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

3.37

3.35

3.35

3.42

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

3.57

3.65

3.66

3.44

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

3.36

3.33

3.35

3.48

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

4.00

4.00

4.00

4.00

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

45.75

106.95

209.00

1125.26

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

4.00

4.00

4.00

4.00

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

3.78

3.77

3.77

3.83

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

44.79

98.49

184.54

971.71

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

49.17

106.44

199.50

1042.32

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

3.37

3.97

4.73

23.21

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

3.89

3.93

3.95

3.98