Table 21 Estimated MSEs for \(\gamma =4\), p = 6 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)

2029.91

352.30

726.27

9290.28

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

1975.04

261.89

545.28

8376.94

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

1937.11

204.38

431.91

7875.11

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

3.84

3.80

3.79

4.72

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

3.22

3.15

3.21

3.45

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

12.29

3.21

3.35

9.76

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

4.76

4.37

4.16

3.57

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

15.38

6.97

6.81

11.04

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

5.53

5.23

4.89

3.88

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

1818.23

4.02

4.02

5584.79

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

2014.17

336.55

709.56

9272.98

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

4.02

4.02

4.02

4.02

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

3.69

3.66

3.68

3.79

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

190.12

293.66

607.23

3149.96

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

209.85

329.17

675.86

3488.69

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

6.75

11.02

26.47

183.91

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

3.96

3.97

3.99

4.00