Finding Regression Outliers With FastRCS
classification
📊 stat.ME
keywords
fastrcsoutliersregressioncriterionfindingsubsetaffinealgorithm
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The Residual Congruent Subset (RCS) is a new method for finding outliers in the linear regression setting. Like many other outlier detection procedures, RCS searches for a subset which minimizes a criterion. The difference is that the new criterion was designed to be insensitive to the outliers. RCS is supported by FastRCS, a fast regression and affine equivariant algorithm which we also detail. Both an extensive simulation study and two real data applications show that FastRCS performs better than its competitors.
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