5. Extensions of the Ordinary Principal Components Model

  1. Alexander Basilevsky

Published Online: 27 MAY 2008

DOI: 10.1002/9780470316894.ch5

Statistical Factor Analysis and Related Methods: Theory and Applications

Statistical Factor Analysis and Related Methods: Theory and Applications

How to Cite

Basilevsky, A. (1994) Extensions of the Ordinary Principal Components Model, in Statistical Factor Analysis and Related Methods: Theory and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470316894.ch5

Author Information

  1. Department of Mathematics & Statistics, The University of Winnipeg, Winnipeg, Manitoba, Canada

Publication History

  1. Published Online: 27 MAY 2008
  2. Published Print: 7 JUN 1994

ISBN Information

Print ISBN: 9780471570820

Online ISBN: 9780470316894

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Keywords:

  • principle components model;
  • random variables;
  • grammian matrices;
  • real positive latent roots;
  • real orthogonal latent vector

Summary

The prelims comprise:

  • Introduction

  • Principal Components of Singular Matrices

  • Principal Components as Clusters: Linear

  • Alternative Modes for Principal Components

  • Other Methods for Multivariable and Multigroup Principal Components

  • Weighted Principal Components

  • Principal Components in the Complex Field

  • Miscellaneous Statistical Applications

  • Special Types of Continuous Data