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The masking and swamping effects are still unavoidable in linear models based on the OLS method. Actually, the data structure has provided much information on this topic. The Jackknife residuals and Cook’s Distance are good indicators here. In this paper, we have shown that the locations of outliers, their signs of residuals, permutations, and the sum of deviations of all outliers are the main factors for the two effects using the planted mean-shift outliers models. The conclusion has been drawn from the simulation study.

The masking and swamping effects using the planted mean-shift outliers models