Recent advances in descriptive multivariate analysis /
Saved in:
| Imprint: | Oxford ; New York : Clarendon Press, 1995. |
|---|---|
| Description: | xiv, 362 p. |
| Language: | English |
| Series: | Royal Statistical Society lecture note series |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/2346557 |
Table of Contents:
- Foreword
- 1. Clustering from the perspective of combinatorial data analysis
- 2. Developments in principal component analysis
- 3. Canonical discriminant analysis: comparison of resampling methods and convex-hull approximation
- 4. Nonlinear methods for the analysis of homogeneity and heterogeneity
- 5. Principles component models for patterned covariance matrices, with applications to canonical correlation analysis of several sets of variables
- 6. Orthogonal and projection Procrustes analysis
- 7. Graphical Modelling
- 8. Convergent computation by iterative majorization: theory and applications in multidimensional data analysis
- 9. Biplot display of multivariate categorical data, with comments on multiple correspondence analysis
- 10. MANOVA biplots for two-way contingency tables
- 11. Some tools for the multivariate analysis of functional data
- 12. A general theory of biplots
- References
