Principal Component Analysis

Authors:

ISBN: 978-0-387-95442-4 (Print) 978-0-387-22440-4 (Online)

Table of contents (14 chapters)

  1. No Access

    Book Chapter

    Pages 1-9

    Introduction

  2. No Access

    Book Chapter

    Pages 10-28

    Mathematical and Statistical Properties of Population Principal Components

  3. No Access

    Book Chapter

    Pages 29-61

    Mathematical and Statistical Properties of Sample Principal Components

  4. No Access

    Book Chapter

    Pages 63-77

    Principal Components as a Small Number of Interpretable Variables: Some Examples

  5. No Access

    Book Chapter

    Pages 78-110

    Graphical Representation of Data Using Principal Components

  6. No Access

    Book Chapter

    Pages 111-149

    Choosing a Subset of Principal Components or Variables

  7. No Access

    Book Chapter

    Pages 150-166

    Principal Component Analysis and Factor Analysis

  8. No Access

    Book Chapter

    Pages 167-198

    Principal Components in Regression Analysis

  9. No Access

    Book Chapter

    Pages 199-231

    Principal Components Used with Other Multivariate Techniques

  10. No Access

    Book Chapter

    Pages 232-268

    Outlier Detection, Influential Observations, Stability, Sensitivity, and Robust Estimation of Principal Components

  11. No Access

    Book Chapter

    Pages 269-298

    Rotation and Interpretation of Principal Components

  12. No Access

    Book Chapter

    Pages 299-337

    Principal Component Analysis for Time Series and Other Non-Independent Data

  13. No Access

    Book Chapter

    Pages 338-372

    Principal Component Analysis for Special Types of Data

  14. No Access

    Book Chapter

    Pages 373-405

    Generalizations and Adaptations of Principal Component Analysis