Principles of Multivariate Analysis

Multivariate analysis is necessary whenever more than one characteristic is observed on each individual under study. Applications arise in very many areas of study. This book provides a comprehensive introduction to available techniques for analysing date of this form. This edition includes a survey of developments in the subject.

" ... it should serve as an excellent reference for anyone interested in multivariate methods."

Autorentext
Established author of texts on statistics.



Klappentext
This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references, a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first edition.

Inhalt
Part I: Looking at multivariate data
Part II: Samples, populations, and models
Part III: Analysing ungrouped data
Part IV: Analysing grouped data
Part V: Analysing association among variables
Appendix: some basic matrix theory
A1 Definitions
A2 Elementary arithmetic operations
A3 Determinants and inverses
A4 Quadratic forms
A5 Latent roots and vectors
A6 Matrix square root
A7 Partitioned matrices
A8 Vector differentiation
References
Index

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