Table 31 Estimated MSEs for \(\gamma =2\), \(p=12\), 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)

166.47

324.93

640.92

3295.88

107.64

192.52

362.47

1802.61

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

135.63

262.20

520.15

2599.75

90.12

160.39

303.12

1493.34

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

102.47

203.67

409.34

2126.72

69.39

126.30

241.98

1221.72

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

3.77

3.69

3.77

5.56

3.83

3.76

3.71

4.23

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

8.12

9.38

8.79

4.84

9.72

11.77

11.91

6.78

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

6.37

7.26

6.92

4.19

5.82

6.21

5.96

3.87

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

19.28

25.95

28.31

17.41

15.97

22.08

25.68

16.89

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

24.79

35.61

41.91

29.53

18.29

26.20

32.06

23.20

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

34.95

53.63

71.00

65.31

28.69

43.83

63.79

72.98

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

154.33

312.70

629.08

3283.59

96.14

181.40

351.58

1791.69

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

3.50

3.45

3.46

3.62

3.69

3.61

3.56

3.58

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

138.87

273.23

542.37

2807.63

92.74

167.45

317.57

1588.01

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

160.07

312.25

616.23

3169.38

104.64

187.05

352.28

1752.20

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

5.30

17.77

53.31

405.38

3.13

5.11

13.78

129.13

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

3.93

3.95

3.97

3.99

3.91

3.93

3.95

3.99