Recent Advances in Descriptive Multivariate Analysis

Wojtek J Krzanowski

ISBN 10: 0198522851 / ISBN 13: 9780198522850

Editore: Oxford University Press (UK) Aug 1995, 1995

Riguardo questo articolo

Neuware - 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 Perspectiveof 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 Bernard Flury (Indiana University) includes some highly novel and previously unpublished work in 'Principal Component Models for Patterned Covariance Matrices.'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.

Codice articolo 9780198522850

Dati bibliografici

• Titolo: Recent Advances in Descriptive Multivariate Analysis
• Editore: Oxford University Press (UK) Aug 1995
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0198522851
• ISBN 13: 9780198522850
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

Contenuti

• 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