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Table 3 MSE of beta (p = 15)

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

5.17E-06

4.40E-06

4.81E-06

 Spatial-soft-IPOD

4.44E-06

3.94E-06

4.27E-06

 Hard-IPOD

2.57E-03

3.33E-03

3.79E-03

 Soft-IPOD

2.95E-03

3.46E-03

3.82E-03

 RoMLE_Cauchy

9.21E-06

5.17E-06

4.19E-06

 RoMLE_Welsch

8.85E-06

5.89E-06

6.66E-06

 RoMLE_Insha

8.61E-06

5.05E-06

4.19E-06

 RoMLE_Logistic

1.03E-05

5.66E-06

4.51E-06

 MM

8.09E-03

1.79E-02

2.57E-02

 LTS

3.59E-03

5.23E-03

6.15E-03

 GY

2.00E-02

4.18E-02

5.90E-02

 MLE

5.24E-05

5.91E-05

6.39E-05

 GMM

4.30E-05

4.27E-05

4.30E-05

Leverage = 15

 Spatial-hard-IPOD

5.21E-06

4.29E-06

4.42E-06

 Spatial-soft-IPOD

4.27E-06

3.77E-06

3.66E-06

 Hard-IPOD

2.57E-03

2.73E-03

2.60E-03

 Soft-IPOD

3.07E-03

2.82E-03

2.61E-03

 RoMLE_Cauchy

4.59E-06

4.24E-06

3.93E-06

 RoMLE_Welsch

4.51E-06

4.49E-06

3.93E-06

 RoMLE_Insha

4.25E-06

4.03E-06

3.81E-06

 RoMLE_Logistic

4.76E-06

4.40E-06

3.89E-06

 MM

8.61E-03

1.53E-02

1.47E-02

 LTS

3.78E-03

4.05E-03

4.11E-03

 GY

2.26E-02

3.37E-02

3.29E-02

 MLE

4.12E-05

3.99E-05

3.87E-05

 GMM

3.78E-05

2.10E-05

1.83E-05

Leverage = 20

 Spatial-hard-IPOD

4.74E-06

4.69E-06

4.52E-06

 Spatial-soft-IPOD

4.00E-06

3.83E-06

3.55E-06

 Hard-IPOD

1.81E-03

2.39E-03

3.49E-03

 Soft-IPOD

2.27E-03

2.46E-03

3.51E-03

 RoMLE_Cauchy

3.83E-06

4.05E-06

3.95E-06

 RoMLE_Welsch

3.82E-06

4.03E-06

3.91E-06

 RoMLE_Insha

3.99E-06

3.88E-06

3.86E-06

 RoMLE_Logistic

4.70E-06

4.06E-06

3.94E-06

 MM

1.38E-02

1.10E-02

2.40E-02

 LTS

2.54E-03

3.24E-03

5.12E-03

 GY

2.23E-02

2.80E-02

4.95E-02

 MLE

4.00E-05

4.00E-05

4.04E-05

 GM

7.96E-05

2.40E-05

1.73E-05

  1. Thirteen methods are compared: Spatial-hard-IPOD, Spatial-soft-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)