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A survey of robust statistics

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An Erratum to this article was published on 08 June 2007

Abstract

We argue that robust statistics has multiple goals, which are not always aligned. Robust thinking grew out of data analysis and the realisation that empirical evidence is at times supported merely by one or a few observations. The paper examines the outgrowth from this criticism of the statistical method over the last few decades.

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Authors and Affiliations

  1. Institute of Mathematics, Ecole Polytechnique fédérale de Lausanne, Lausanne, Switzerland

    Stephan Morgenthaler

  2. EPFL FSB IMA, Station 8, 1015, Lausanne, Switzerland

    Stephan Morgenthaler

Authors
  1. Stephan Morgenthaler
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Corresponding author

Correspondence to Stephan Morgenthaler.

Additional information

This research was supported in part by the Swiss National Science Foundation.

An erratum to this article can be found at http://dx.doi.org/10.1007/s10260-007-0057-5

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Morgenthaler, S. A survey of robust statistics. Stat. Meth. & Appl. 15, 271–293 (2007). https://doi.org/10.1007/s10260-006-0034-4

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  • DOI: https://doi.org/10.1007/s10260-006-0034-4

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