Statistical Methods & Applications

, Volume 27, Issue 4, pp 621–623 | Cite as

Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini

  • Christophe CrouxEmail author


In this short note comments are given on the discussion paper of Cerioli, A., Riani, M., Atkinson, A. C., and Corbellini, A., entitled “The power of monitoring: How to make the most of a contaminated multivariate sample.”


  1. Atkinson A, Riani M (1997) Bivariate boxplots, multiple outliers, multivariate transformations and discriminant analysis: the 1997 Hunter Lecture. Environmetrics 8(6):583–602CrossRefGoogle Scholar
  2. Atkinson AC, Riani M, Cerioli A (2013) Exploring multivariate data with the forward search. Springer, BerlinzbMATHGoogle Scholar
  3. Cerioli A, Riani M, Atkinson AC, Corbellini A (2018) The power of monitoring: how to make the most of a contaminated multivariate sample. Stat Methods Appl 13:179Google Scholar
  4. Croux C, Dehon C, Yadine A (2011) On the optimality of multivariate S-estimators. Scand J Stat 38(2):332–341MathSciNetCrossRefzbMATHGoogle Scholar
  5. Croux C, Haesbroeck G (1999) Influence function and efficiency of the minimum covariance determinant scatter matrix estimator. J Multivar Anal 71(2):161–190MathSciNetCrossRefzbMATHGoogle Scholar
  6. Rocke DM (1996) Robustness properties of s-estimators of multivariate location and shape in high dimension. Annals Stat 24:1327–1345MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.EDHEC Business SchoolRoubaix Cedex 1France

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