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Discriminant Analysis

  • Anthony C. Atkinson
  • Marco Riani
  • Andrea Cerioli
Chapter
  • 480 Downloads
Part of the Springer Series in Statistics book series (SSS)

Abstract

In discriminant analysis the multivariate observations are divided into g groups the membership of which is assumed known without error. The purpose of the analysis is to develop a rule for the allocation of a new observation of unknown origin to the most likely group. For example, in the case of the Swiss bank notes there are two groups, genuine notes and forgeries. The purpose of the analysis would be to develop a rule for determining whether or not a new note was genuine.

Keywords

Discriminant Analysis Muscular Dystrophy Linear Discriminant Analysis Mahalanobis Distance Canonical Variate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Anthony C. Atkinson
    • 1
  • Marco Riani
    • 2
  • Andrea Cerioli
  1. 1.Department of StatisticsThe London School of EconomicsLondonUK
  2. 2.Dipartimento di Economia, Sezione di Statistica e InformaticaUniversità di ParmaParmaItaly

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