Outlier identification for skewed and/or heavy-tailed unimodal multivariate distributions

Auteurs-es

  • Vincenzo Verardi
  • Catherine Vermandele

Résumé

In multivariate analysis, it is very difficult to identify outliers in case of skewed and/or heavy-tailed distributions. In this paper, we propose a very simple outlier identification tool that works with these types of distributions and that keeps the computational complexity low.

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Publié-e

2016-09-22

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Article