Table 13 Estimated MSEs for \(\gamma =6\), p = 3 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)

45.49

76.39

145.71

690.49

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

31.77

53.94

104.51

497.79

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

25.05

44.48

88.55

445.01

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

3.89

3.86

3.84

3.77

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

4.03

3.87

3.79

3.57

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

4.10

3.89

3.76

3.73

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

3.96

3.81

3.77

3.53

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

3.97

3.82

3.81

3.53

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

3.99

3.83

3.77

3.56

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

4.00

4.00

4.00

4.00

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

33.49

64.39

133.25

677.32

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

4.00

4.00

4.00

4.00

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

3.87

3.85

3.84

3.84

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

41.29

69.81

133.76

636.66

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

43.63

73.27

139.80

662.86

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

3.76

3.56

3.56

7.44

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

3.88

3.89

3.93

3.98