Recent Advances in Descriptive Multivariate Analysis

Hardcover | August 1, 1990

EditorWojtek J. Krzanowski

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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, canonicalcorrelations 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 iswritten 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 inexisting texts.

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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, canonicalcorrelations and varieties, nonlinear methods, biplots,...

W. J. Krzanowski is at University of Exeter.

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Format:HardcoverDimensions:376 pages, 9.21 × 6.22 × 0.98 inPublished:August 1, 1990Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198522851

ISBN - 13:9780198522850

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Table of Contents

Foreword1. Clustering from the perspective of combinatorial data analysis2. Developments in principal component analysis3. Canonical discriminant analysis: comparison of resampling methods and convex-hull approximation4. Nonlinear methods for the analysis of homogeneity and heterogeneity5. Principles component models for patterned covariance matrices, with applications to canonical correlation analysis of several sets of variables6. Orthogonal and projection Procrustes analysis7. Graphical Modelling8. Convergent computation by iterative majorization: theory and applications in multidimensional data analysis9. Biplot display of multivariate categorical data, with comments on multiple correspondence analysis10. MANOVA biplots for two-way contingency tables11. Some tools for the multivariate analysis of functional data12. A general theory of biplotsReferences

Editorial Reviews

"It fills a gap left by standard textbooks on multivariate analysis, which (understandably) contain only basic ideas and techniques. As such it would provide useful supplemental material for a graduate-level course...." --Technometrics
" ... this volume contains some good expositions of standard theory as well as recently developed ideas." --Mathematical Reviews