Jackson A User's Guide to Principal Components

1. Auflage 2005
ISBN: 978-0-471-72532-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 592 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists.
From the Reviews of A User's Guide to PrincipalComponents
"The book is aptly and correctly named-A User'sGuide. It is the kind of book that a user at any level, novice orskilled practitioner, would want to have at hand for autotutorial,for refresher, or as a general-purpose guide through the maze ofmodern PCA."
-Technometrics
"I recommend A User's Guide to Principal Components toanyone who is running multivariate analyses, or who contemplatesperforming such analyses. Those who write their own software willfind the book helpful in designing better programs. Those who useoff-the-shelf software will find it invaluable in interpreting theresults."
-Mathematical Geology

Autoren/Hrsg.

Jackson, J. Edward

Inhaltsverzeichnis

Preface.
Introduction.
1. Getting Started.
2. PCA with More Than Two Variables.
3. Scaling of Data.
4. Inferential Procedures.
5. Putting It All Together--Hearing Loss I.
6. Operations with Group Data.
7. Vector Interpretation I : Simplifications and InferentialTechniques.
8. Vector Interpretation II: Rotation.
9. A Case History--Hearing Loss II.
10. Singular Value Decomposition: Multidimensional ScalingI.
11. Distance Models: Multidimensional Scaling II.
12. Linear Models I : Regression; PCA of PredictorVariables.
13. Linear Models II: Analysis of Variance; PCA of ResponseVariables.
14. Other Applications of PCA.
15. Flatland: Special Procedures for Two Dimensions.
16. Odds and Ends.
17. What is Factor Analysis Anyhow?
18. Other Competitors.
Conclusion.
Appendix A. Matrix Properties.
Appendix B. Matrix Algebra Associated with Principal ComponentAnalysis.
Appendix C. Computational Methods.
Appendix D. A Directory of Symbols and Definitions for PCA.
Appendix E. Some Classic Examples.
Appendix F. Data Sets Used in This Book.
Appendix G. Tables.
Bibliography.
Author Index.
Subject Index.

Über Autor(innen)

J. Edward Jackson received his Ph. D. from Virginia Tech in 1947. His first position was as a statistician for Eastman Kodak for whom he worked 37 years. He was self-employed from 1985-91. He and his wife, Suzanne, continue to live in New York.