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Robust methods for multivariate data analysis

  1. S. Frosch Møller1,*,
  2. J. von Frese2,
  3. R. Bro2

Article first published online: 5 MAY 2006

DOI: 10.1002/cem.962

Issue

Journal of Chemometrics

Journal of Chemometrics

Volume 19, Issue 10, pages 549–563, October 2005

Additional Information

How to Cite

Møller, S. F., von Frese, J. and Bro, R. (2005), Robust methods for multivariate data analysis. J. Chemometrics, 19: 549–563. doi: 10.1002/cem.962

Author Information

  1. 1

    Department of Seafood Research, Danish Institute for Fisheries Research, The Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark

  2. 2

    Spectroscopy and Chemometrics Group, Quality and Technology, Department of Food Science, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark

*Department of Seafood Research, Danish Institute for Fisheries Research, The Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.

Publication History

  1. Issue published online: 5 MAY 2006
  2. Article first published online: 5 MAY 2006
  3. Manuscript Accepted: 27 JAN 2006
  4. Manuscript Revised: 6 DEC 2005
  5. Manuscript Received: 24 FEB 2005

Funded by

  • Danish Ministry of Food, Agriculture and Fisheries

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Keywords:

  • outliers;
  • robust estimation;
  • PCA;
  • PCR;
  • PLS

Abstract

Outliers may hamper proper classical multivariate analysis, and lead to incorrect conclusions. To remedy the problem of outliers, robust methods are developed in statistics and chemometrics. Robust methods reduce or remove the effect of outlying data points and allow the ‘good’ data to primarily determine the result. This article reviews the most commonly used robust multivariate regression and exploratory methods that have appeared since 1996 in the field of chemometrics. Special emphasis is put on the robust versions of chemometric standard tools like PCA and PLS and the corresponding robust estimates of regression, location and scatter on which they are based. Copyright © 2006 John Wiley & Sons, Ltd.

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