Table 33 Estimated MSEs for \(\gamma =4\), \(p=12\), 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)

345.69

670.91

1385.28

6817.89

197.83

366.72

703.14

3463.65

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

276.99

534.72

1086.54

5336.42

164.59

302.52

574.74

2835.09

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

208.18

409.60

851.01

4281.11

126.07

238.77

465.21

2329.46

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

3.82

3.79

3.84

6.38

3.88

3.81

3.77

4.08

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

6.71

7.16

6.27

3.85

7.26

8.24

7.67

4.59

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

4.20

4.35

4.05

3.44

3.47

3.65

3.55

3.29

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

16.59

19.79

18.70

9.54

13.12

16.33

16.17

8.91

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

26.86

34.84

36.09

20.49

18.88

25.38

26.82

15.80

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

33.46

44.25

47.18

30.30

27.57

38.19

44.30

29.89

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

322.90

648.67

1362.17

6795.08

178.10

346.64

683.22

3443.42

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

4.01

4.01

4.01

4.01

4.01

4.01

4.01

4.01

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

3.55

3.53

3.56

3.71

3.68

3.60

3.57

3.64

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

305.08

592.96

1226.21

6081.90

180.95

336.98

647.91

3201.22

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

336.39

652.51

1346.84

6638.19

194.36

360.38

691.00

3405.41

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

13.14

39.76

116.06

801.41

3.95

11.06

32.74

295.64

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

3.97

3.98

3.99

4.00

3.96

3.97

3.98

4.00