Table 32 Estimated MSEs for \(\gamma =2\), \(p=12\) and \(n={150,\, 200}\). Bold value indicates minimum MSE.

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

 

n = 150

n = 200

\(\rho\)

0.8

0.9

0.95

0.99

0.8

0.9

0.95

0.99

MSE (QLE)

107.05

189.61

357.70

1727.66

105.30

187.00

345.40

1667.68

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

90.21

158.82

300.00

1434.63

88.71

156.26

290.43

1389.27

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

70.74

126.52

240.97

1185.68

70.57

125.74

234.82

1148.19

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

3.85

3.81

3.73

3.87

3.89

3.83

3.79

3.78

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

11.89

14.37

14.29

7.91

13.63

15.86

15.90

8.43

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

6.73

7.03

6.20

3.77

8.10

7.87

7.07

4.07

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

16.94

22.47

24.90

15.31

18.09

23.06

25.56

15.18

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

18.89

25.91

29.99

19.57

19.97

26.53

31.02

19.86

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

30.40

45.54

64.67

72.84

31.71

46.16

65.99

72.88

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

95.86

178.75

347.13

1717.34

94.04

176.12

334.92

1657.31

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

3.77

3.71

3.67

3.65

3.82

3.78

3.74

3.70

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

93.40

166.66

316.09

1538.48

92.42

164.94

306.06

1487.39

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

104.42

184.81

348.54

1684.20

102.87

182.48

336.97

1626.90

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

3.56

4.21

8.25

75.10

4.13

4.16

5.93

39.80

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

3.90

3.92

3.95

3.99

3.88

3.91

3.94

3.99