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Table 4 MSE of beta (p = 50)

From: Outlier detection in spatial error models using modified thresholding-based iterative procedure for outlier detection approach

 

Outlier = 50

Outlier = 20

Outlier = 10

No leverage

 Spatial-hard-IPOD

6.19E-06

5.61E-06

5.28E-06

 Spatial-soft-IPOD

5.41E-06

4.93E-06

4.96E-06

 Hard-IPOD

5.25E-03

2.99E-03

3.18E-03

 Soft-IPOD

5.69E-03

3.27E-03

3.28E-03

 RoMLE_Cauchy

1.03E-05

6.29E-06

1.20E-05

 RoMLE_Welsch

9.74E-06

6.03E-06

1.09E-05

 RoMLE_Insha

1.01E-05

5.71E-06

1.06E-05

 RoMLE_Logistic

1.18E-05

6.92E-06

1.34E-05

 MM

2.64E-02

1.44E-02

2.14E-02

 LTS

9.10E-03

5.74E-03

6.14E-03

 GY

3.21E-02

2.10E-02

2.53E-02

 MLE

7.59E-05

6.60E-05

6.99E-05

 GMM

5.73E-05

5.47E-05

5.56E-05

Leverage = 15

 Spatial-hard-IPOD

6.10E-06

5.63E-06

5.09E-06

 Spatial-soft-IPOD

4.88E-06

4.50E-06

4.12E-06

 Hard-IPOD

3.76E-03

3.13E-03

3.05E-03

 Soft-IPOD

4.05E-03

3.15E-03

3.02E-03

 RoMLE_Cauchy

8.58E-06

7.49E-06

8.86E-06

 RoMLE_Welsch

8.17E-06

7.08E-06

8.43E-06

 RoMLE_Insha

8.08E-06

6.42E-06

7.41E-06

 RoMLE_Logistic

9.19E-06

7.68E-06

9.15E-06

 MM

1.67E-02

1.94E-02

1.71E-02

 LTS

5.78E-03

5.79E-03

5.47E-03

 GY

2.46E-02

2.36E-02

2.19E-02

 MLE

6.21E-05

5.23E-05

4.89E-05

 GMM

3.39E-05

2.73E-05

2.45E-05

Leverage = 20

 Spatial-hard-IPOD

6.29E-06

5.36E-06

5.13E-06

 Spatial-soft-IPOD

4.99E-06

4.32E-06

4.20E-06

 Hard-IPOD

3.15E-03

3.51E-03

2.86E-03

 Soft-IPOD

3.72E-03

3.56E-03

2.85E-03

 RoMLE_Cauchy

5.77E-06

6.53E-06

9.26E-06

 RoMLE_Welsch

7.52E-06

6.42E-06

8.78E-06

 RoMLE_Insha

5.29E-06

5.98E-06

7.82E-06

 RoMLE_Logistic

6.09E-06

6.66E-06

9.81E-06

 MM

1.60E-02

2.44E-02

1.95E-02

 LTS

4.88E-03

6.72E-03

5.53E-03

 GY

1.85E-02

2.72E-02

2.25E-02

 MLE

5.90E-05

5.39E-05

4.94E-05

 GMM

3.48E-05

2.71E-05

2.54E-05

  1. Thirteen methods are compared: Our proposed hard-IPOD, our proposed hard-IPOD, hard-IPOD, soft-IPOD, RoMLE_Cauchy, RoMLE_Welsch, RoMLE_Insha, RoMLE_Logistic, MM-estimator, LTS, Gervini–Yohai’s fully efficient one-step procedure, Maximum likelihood estimation (MLE) and Generalized moments method (GMM)