A User's Guide to Principal Components

Don't get bogged down in theoretical matters and computational techniques. Focus instead on practical aspects of data reduction and interpretation. Dealing with the "how-to-do-it" as well as the '"why-it-works," this paperback edition of a Wiley bestseller is designed for practitioners of principal component analysis. Among the topics explored are extension to p variables, scaling input data, inferential procedures, operations with group data, and vector interpretation.

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.

Getting Started
PCA with More Than Two Variables
Scaling of Data
Inferential Procedures
Putting It All Together--Hearing Loss I. Operations with Group Data
Vector Interpretation I: Simplifications and Inferential Techniques
Vector Interpretation II: Rotation
A Case History--Hearing Loss II
Singular Value Decomposition: Multidimensional Scaling I. Distance Models: Multidimensional Scaling II
Linear Models I: Regression; PCA of Predictor Variables
Linear Models II: Analysis of Variance; PCA of Response Variables
Other Applications of PCA
Flatland: Special Procedures for Two Dimensions
Odds and Ends
What Is Factor Analysis Anyhow?
Other Competitors
Conclusion
Appendices
Bibliography
Author Index
Subject Index
Table of Contents provided by Publisher. All Rights Reserved.

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A User's Guide to Principal Components

Summary

Author Biography

Table of Contents

Supplemental Materials