Preface

Part 1     Data, Models, and Algorithms

    1. Overture

    2. Overview

    3. Three-way and multiway data

    4. Component models for fully-crossed designs

    5. Algorithms for multiway models

Part II     Data Handling, Model Selection, and Interpertation

    6. Preprocessin

   7. Missing data in multiway analysis

    8. Model and dimensionality selection

    9. Interpreting component models

  10. Improving interpretation through rotations

  11. Graphical displays for components

  12. Residuals, outliers, and robustness

Part III    Multiway Data and Their Analysis

   13. Modeling multiway profile data

   14. Modeling multiway rating scale data

   15. Exploratory multivariate longitudinal analysis

   16. Three-mode clustering

   17. Multiway contingency tables

   18. Three-way binary data

   19. From three-way to four-way data and beyond

Appendix A: Standard notation for mulitway analysis

Appendix B: Biplots and their interpretation

References

Glossary

Acronyms

Author Index

Subject Index