Research Article
A New Efficient Redescending M-Estimator for Robust Fitting of Linear Regression Models in the Presence of Outliers
Table 9
Total mean square error for datasets generated from X∼N(0, 1); 60% Y∼N(0, 1) and 40% Y∼N(100, 1)).
| N | P | OLS | Huber | Hampel | Andrew | Tukey | Ali |
| N = 30 | P = 2 | 41.297 | 12.45 | 0.356 | 0.356 | 0.356 | 0.345 | P = 3 | 42.357 | 23.84 | 0.466 | 0.467 | 0.467 | 0.445 | P = 6 | 46.583 | 48.64 | 0.755 | 0.752 | 0.752 | 0.728 |
| N = 50 | P = 2 | 40.617 | 5.583 | 0.260 | 0.260 | 0.260 | 0.245 | P = 3 | 41.376 | 14.14 | 0.337 | 0.337 | 0.401 | 0.327 | P = 6 | 43.420 | 34.79 | 0.497 | 0.497 | 0.497 | 0.477 |
| N = 100 | P = 2 | 40.38 | 2.297 | 0.183 | 0.183 | 0.183 | 0.161 | P = 3 | 40.60 | 4.247 | 0.233 | 0.233 | 0.269 | 0.211 | P = 6 | 42.637 | 11.335 | 0.330 | 0.334 | 0.334 | 0.310 |
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