Table 27 Estimated MSEs for \(\gamma =6\), p = 6 and \(n=50\). 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)

125.25

232.19

443.06

2135.45

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

97.12

177.90

340.47

1673.18

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

75.38

145.22

283.82

1407.87

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

3.88

3.82

3.78

3.97

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

3.25

3.29

3.26

3.30

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

3.24

3.22

3.32

3.59

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

3.71

3.90

3.81

3.43

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

4.79

5.36

5.24

4.12

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

4.43

4.70

4.53

3.79

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

4.02

4.02

4.02

4.02

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

108.73

214.98

425.45

2117.17

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

4.02

4.02

4.02

4.02

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

3.75

3.71

3.70

3.75

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

114.19

213.31

407.97

1974.49

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

121.76

225.97

431.26

2080.25

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

3.35

5.21

11.57

91.98

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

3.96

3.97

3.99

4.00