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Robust classification for skewed data


  • Mia Hubert


  • Stephan Van der Veeken


No abstract is available for this item.

Suggested Citation

  • Mia Hubert & Stephan Van der Veeken, 2010. "Robust classification for skewed data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(4), pages 239-254, December.
  • Handle: RePEc:spr:advdac:v:4:y:2010:i:4:p:239-254 DOI: 10.1007/s11634-010-0066-3

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    References listed on IDEAS

    1. Hubert, Mia & Van Driessen, Katrien, 2004. "Fast and robust discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 301-320, March.
    2. Anil K. Ghosh & Probal Chaudhuri, 2005. "On Maximum Depth and Related Classifiers," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 32(2), pages 327-350.
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    Cited by:

    1. Mia Hubert & Irène Gijbels & Dina Vanpaemel, 2013. "Reducing the mean squared error of quantile-based estimators by smoothing," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 448-465, September.
    2. repec:spr:advdac:v:11:y:2017:i:2:d:10.1007_s11634-016-0246-x is not listed on IDEAS

    More about this item


    Robustness; Classification; Skewness; 62H30;

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