Principles of Multivariate Analysis by Wojtek KrzanowskiPrinciples of Multivariate Analysis by Wojtek Krzanowski

Principles of Multivariate Analysis

byWojtek Krzanowski

Paperback | July 1, 2000

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This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. The author's emphasis is problem-orientatedand he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniquesare presented as well as continuous variable techniques to give a comprehensive coverage of the subject. This updated edition includes a new appendix which traces developments that have taken place in the years since the publication of the first edition and which clarifies some issues raised byreaders of the original text. References to about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse asanthropology, education, industry, medicine and taxonomy. The new edition includes a survey of the most recent developments in the subject.
Established author of texts on statistics.
Title:Principles of Multivariate AnalysisFormat:PaperbackPublished:July 1, 2000Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198507089

ISBN - 13:9780198507086


Table of Contents

Part I: Looking at multivariate dataPart II: Samples, populations, and modelsPart III: Analysing ungrouped dataPart IV: Analysing grouped dataPart V: Analysing association among variablesAppendix: some basic matrix theoryA1 DefinitionsA2 Elementary arithmetic operationsA3 Determinants and inversesA4 Quadratic formsA5 Latent roots and vectorsA6 Matrix square rootA7 Partitioned matricesA8 Vector differentiationReferencesIndex

Editorial Reviews

"This book is an applied multivariate analysis text aimed at the user or potential user of multivariate methods. The author has kept matrix formulas and manipulations to a minimum by replacing derivations with geometrical arguments whenever possible. . . The most important topic covered is basic multivariate distribution theory, with particular attention given to the multivariate normal and Wishart distributions. . . . [I]t should serve as an excellent reference for anyone interested in multivariate methods." -- JASA