Outlier detection for skewed data

@inproceedings{Hubert2007OutlierDF,
  title={Outlier detection for skewed data},
  author={Mia Hubert and Stephan Van der Veeken},
  year={2007}
}
Most outlier detection rules for multivariate data are based on the assumption of elliptical symmetry of the underlying distribution. We propose an outlier detection method which does not need the assumption of symmetry and does not rely on visual inspection. Our method is a generalization of the Stahel-Donoho outlyingness. The latter approach assigns to each observation a measure of outlyingness, which is obtained by projection pursuit techniques that only use univariate robust measures of… CONTINUE READING

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