Recent Advances in Descriptive Multivariate Analysis (Hardcover)
Language: English
Published by Oxford University Press, Oxford, 1995
- Hardcover
- New

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Hardcover. 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 onmethodology, 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 artsummary 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. This 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller Inventory # 9780198522850
- Title
- Recent Advances in Descriptive Multivariate Analysis (Hardcover)
- Author
- Wojtek J. Krzanowski
- Publisher
- Oxford University Press, Oxford
- Publication year
- 1995
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0198522851
- ISBN 13
- 9780198522850
This book provides a state of the art summary on the general theme of descriptive multivariate analysis. It consists of a collection of commissioned, edited articles by an international group of leading researchers: Phipps Arabie (Rutgers University) writes on "Clustering from the Perspective of Combinatorial Data Analysis". Bernard Flury (Indiana University) includes some highly novel and previously unpublished work in "Principal Component Models for Patterned Covariance Matrices". David Edwards' (University of Novi Nordisk, Denmark) "Graphical Modelling" and the chapter on "Convergent Computation" provide thorough and useful surveys of recent research not available in other texts on multivariate analysis. Other contributions include James Ramsay (McGill University, Montreal); Clause Wiehs (CIBA-GEIGY, Bosle); Willen Heiser (University of Leiden); and Ruben Gabriel (University of Rochester, New York). The material should provide a useful reference for graduate students and researchers.
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About the Author
W. J. Krzanowski is at University of Exeter.
"About the title" may belong to another edition of this title.
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