A User's Guide to Principal Components (eBook)

J. Edward Jackson (Autor)

eBook Download: PDF

2005 | 1. Auflage
592 Seiten
John Wiley & Sons (Verlag)
978-0-471-72532-9 (ISBN)

Infos

WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists of selected
books that have been made more accessible to consumers in an effort
to increase global appeal and general circulation. With these new
unabridged softcover volumes, Wiley hopes to extend the lives of
these works by making them available to future generations of
statisticians, mathematicians, and scientists.

From the Reviews of A User's Guide to Principal
Components

"The book is aptly and correctly named-A User's
Guide. It is the kind of book that a user at any level, novice or
skilled practitioner, would want to have at hand for autotutorial,
for refresher, or as a general-purpose guide through the maze of
modern PCA."

-Technometrics

"I recommend A User's Guide to Principal Components to
anyone who is running multivariate analyses, or who contemplates
performing such analyses. Those who write their own software will
find the book helpful in designing better programs. Those who use
off-the-shelf software will find it invaluable in interpreting the
results."

-Mathematical Geology

Autor

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.

Inhalt

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 Inferential
Techniques.

8. Vector Interpretation II: Rotation.

9. A Case History--Hearing Loss II.

10. Singular Value Decomposition: Multidimensional Scaling
I.

11. Distance Models: Multidimensional Scaling II.

12. Linear Models I : Regression; PCA of Predictor
Variables.

13. Linear Models II: Analysis of Variance; PCA of Response
Variables.

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 Component
Analysis.

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.

Produkt-Details

• Erscheint lt. Verlag: 21.1.2005
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Statistics • Statistik
• ISBN-10: 0-471-72532-3 / 0471725323
• ISBN-13: 978-0-471-72532-9 / 9780471725329