Recent advances in descriptive multivariate analysis
著者
書誌事項
Recent advances in descriptive multivariate analysis
（Royal Statistical Society lecture notes series, 2）（Oxford science publications）
Clarendon Press , Oxford University Press, 1995
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注記
Lectures given at the University of Exeter between May 1992 and Dec. 1993
Bibliography: p. 304-354
Includes index
内容説明・目次
内容説明
This book contains a collection of commissioned, edited chapters on the general theme of descriptive multivariate analysis, provided by a series of contributors to a symposium held at the University of Exeter. Areas covered include cluster analysis, principal components, canonical correlations and varieties, nonlinear methods, biplots, Procrustes analysis, correspondence analysis, graphical models, and analysis of functional data. The emphasis throughout is on
methodology, but computational aspects and applications are also highlighted where appropriate. Each chapter is written by an expert in the field, and the book as a whole provides a state of the art summary of the descriptive multivariate area. The academic level lies between that of an introduction to
the subject and an advanced monograph, and the book contains numerous topics not covered elsewhere in existing texts.
目次
- 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
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