A user's guide to principal components
著者
書誌事項
A user's guide to principal components
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
Wiley, c1991
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注記
Includes bibliographical references and index
"A Wiley-interscience publication"
内容説明・目次
内容説明
Principal component analysis is a multivariate technique in which a number of related variables are transformed to a set of uncorrelated variables. This paperback reprint of a Wiley bestseller is designed for practitioners of principal component analysis.
目次
- 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.
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