Foreword
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