Data Analytic Considerations with Normal Theory-Based Discriminant Analysis

  1. Geoffrey J. McLachlan

Published Online: 28 JAN 2005

DOI: 10.1002/0471725293.ch6

Discriminant Analysis and Statistical Pattern Recognition

Discriminant Analysis and Statistical Pattern Recognition

How to Cite

McLachlan, G. J. (1992) Data Analytic Considerations with Normal Theory-Based Discriminant Analysis, in Discriminant Analysis and Statistical Pattern Recognition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471725293.ch6

Publication History

  1. Published Online: 28 JAN 2005
  2. Published Print: 27 MAR 1992

ISBN Information

Print ISBN: 9780471615316

Online ISBN: 9780471725299

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Keywords:

  • normality;
  • discriminant analysis;
  • likelihood ratio;
  • variance analysis;
  • normal models

Summary

This chapter includes the following topics:

  • Introduction

  • Assessment of Normality and Homoscedasticity

  • Data-Based Transformations of Feature Data

  • Typicality of a Feature Vector

  • Sample Canonical Variates

  • Some Other Methods of Dimension Reduction to Reveal Group Structure

  • Example: Detection of Hemophilia A Carriers

  • Example: Statistical Diagnosis of Diabetes

  • Example: Testing for Existence of Subspecies in Fisher's Iris Data