Table 1 Estimated MSEs for \(\gamma =2\), 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)

26.92

55.04

109.02

553.28

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

20.21

39.22

77.92

390.97

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

15.09

31.69

65.57

346.29

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

3.79

3.72

3.69

3.82

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

3.22

3.28

3.25

3.45

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

3.28

3.30

3.28

3.44

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

3.17

3.34

3.30

3.24

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

3.31

3.60

3.61

3.35

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

3.18

3.32

3.28

3.27

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

4.11

4.00

4.00

4.00

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

22.40

50.46

104.45

548.54

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

4.00

4.00

4.00

4.00

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

3.77

3.75

3.74

3.78

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

20.61

42.82

85.51

441.10

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

23.84

48.57

96.04

488.17

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

3.24

3.14

3.34

10.66

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

3.81

3.86

3.91

3.97