Table 35 Estimated MSEs for \(\gamma =6\), \(p=12\), and \(n={50,\,100}\). Bold value indicates minimum MSE.

From: New ridge parameter estimators for the quasi-Poisson ridge regression model

 

n = 50

n = 100

\(\rho\)

0.8

0.9

0.95

0.99

0.8

0.9

0.95

0.99

MSE (QLE)

630.35

1154.77

2511.53

13,610.04

290.59

542.26

1054.63

5190.68

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

488.65

905.89

1989.07

10,520.78

240.92

441.42

866.92

4226.55

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

380.93

696.68

1580.76

8653.98

184.13

350.71

689.16

3444.76

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

3.84

3.81

3.93

6.42

3.89

3.84

3.80

4.18

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

5.97

5.96

5.25

3.57

6.00

6.59

6.09

4.01

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

3.77

3.80

3.68

3.49

3.26

3.30

3.31

3.40

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

13.95

15.44

14.00

6.68

10.41

12.22

11.51

6.48

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

26.76

32.66

31.89

16.13

18.16

23.25

23.47

13.12

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

27.93

33.83

33.71

17.93

22.80

28.94

29.30

17.28

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

595.94

1119.24

2476.48

13,573.75

263.25

513.23

1025.26

5161.58

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

3.60

3.59

3.62

3.75

3.69

3.63

3.61

3.68

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

568.24

1040.40

2260.24

12,375.51

271.46

507.70

989.98

4879.23

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

614.78

1127.76

2441.50

13,302.14

286.66

534.99

1040.54

5122.12

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

25.90

81.30

248.60

1497.75

5.65

16.74

53.89

444.68

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

3.98

3.99

3.99

4.00

3.98

3.98

3.99

4.00