Principles of Multivariate Analysis: A User's Perspective

This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references, a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first edition.

1101392504
Principles of Multivariate Analysis: A User's Perspective

This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references, a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first edition.

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Principles of Multivariate Analysis: A User's Perspective

Principles of Multivariate Analysis: A User's Perspective

by W. J. Krzanowski
Principles of Multivariate Analysis: A User's Perspective

Principles of Multivariate Analysis: A User's Perspective

by W. J. Krzanowski

Paperback(REVISED)

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Overview

This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references, a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first edition.


Product Details

ISBN-13: 9780198507086
Publisher: Oxford University Press
Publication date: 12/28/2000
Series: Oxford Statistical Science Series , #21
Edition description: REVISED
Pages: 608
Product dimensions: 9.12(w) x 6.08(h) x 1.28(d)

Table of Contents

IntroductionPart I: Looking at multivariate data1. Motivation and fundamental concepts2. One-way graphical representation of data matrices3. Graphical methods for association or proximity matrices4. Two-way graphical representation of data matrices5. Analytical comparison of two or more graphical representationsPart II: Samples, populations, and models6. Data inspection or data analysis? 7. Distribution theoryPart III: Analysing ungrouped data8. Estimation and hypothesis testing9. Reduction of dimensionality: inferential aspects of descriptive methods10. Discrete dataPart IV: Analysing grouped data11. Incorporating group structure: descriptive statistics12. Inferential aspects: the two-group case13. Inferential aspects: more than two groupsPart V: Analysing association among variables14. Measuring and interpreting association15. Exploiting observed associations: manifest-variable models16. Explaining observed associations: latent-variable models17. Conclusion: some general multivariate problemsAppendix A—Some basic matrix theoryAppendix B—Postscript: further developmentsReferencesAdditional references for Appendix BIndex
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