Table 34 Estimated MSEs for \(\gamma =4\), \(p=12\), 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)

193.38

357.10

677.74

3351.75

191.55

348.17

659.99

3232.57

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

160.42

295.61

558.95

2796.27

160.42

287.85

551.46

2697.71

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

125.88

237.23

456.19

2282.88

125.67

232.71

447.39

2222.25

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

3.88

3.82

3.77

3.94

3.88

3.84

3.79

3.85

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

8.28

9.06

8.19

4.73

8.79

9.56

8.56

4.65

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

3.64

3.54

3.36

3.23

3.93

3.78

3.51

3.23

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

12.93

15.14

14.30

7.45

12.84

14.94

13.95

6.94

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

18.31

23.19

23.44

12.48

18.18

22.97

23.29

11.82

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

28.43

37.70

42.38

26.20

28.13

37.88

41.91

24.62

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

174.23

337.86

658.44

3331.87

172.08

328.74

640.68

3213.02

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

3.74

3.67

3.64

3.67

3.78

3.72

3.69

3.68

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

178.82

331.71

631.19

3128.52

178.02

324.28

616.99

3028.33

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

190.51

351.82

667.78

3303.17

188.90

343.34

650.95

3188.90

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

3.59

7.46

22.50

215.17

3.57

5.90

15.18

156.56

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

3.96

3.97

3.98

4.00

3.95

3.97

3.98

4.00