Applied factor analysis in the natural sciences

Bibliographic Information

Applied factor analysis in the natural sciences

Richard A. Reyment, K.G. Jöreskog ; appendix by Leslie F. Marcus

Cambridge University Press, 1996

1st paperback ed

  • : pbk

Available at  / 2 libraries

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Note

Includes bibliographical references (p. 351-362) and index

Description and Table of Contents

Description

This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory.

Table of Contents

  • 1. Introduction
  • 2. Basic mathematical and statistical concepts
  • 3. Aims, ideas, and models of factor analysis
  • 4. R-Mode methods
  • 5. Q-Mode methods
  • 6. Q-R-Mode Methods
  • 7. Steps in the analysis
  • 8. Examples and case histories.

by "Nielsen BookData"

Details

  • NCID
    BA55354709
  • ISBN
    • 0521575567
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cambridge [England]
  • Pages/Volumes
    xii, 371 p.
  • Size
    23 cm
  • Classification
  • Subject Headings
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