Description
Book SynopsisThis is a state-of-the-art summary of a wide range of topics within the field of Descriptive Multivariate Analysis. Each chapter is by an acknowledged authority in the field and provides a readable, comprehensive coverage of the topic for the practising statistician.
Table of ContentsForeword ; 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
