Principles of Multivariate Analysis
A User's Perspective
Published on 14. July 1988
Book
Hardback
584 pages
978-0-19-852211-9 (ISBN)
Description
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 postgraduate students coming to the subject for the first time. The emphasis is problem-orientated and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections, which are not essential for a practical understanding of the techniques, are clearly indicated so that they may be skipped by the non-specialist. Recent developments concerning discrete and mixed variable techniques are presented as well as continuous variable techniques. This book offers a practical account of the subject for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Oxford University Press
Target group
College/higher education
Illustrations
87 line drawings, bibliography, index
Dimensions
Height: 230 mm
Width: 150 mm
Weight
999 gr
ISBN-13
978-0-19-852211-9 (9780198522119)
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Schweitzer Classification
Content
Introduction. Part 1 Looking at multivariate data: Motivation and fundamental concepts; one-way graphical representation of data matrices; graphical methods for association or proximity matrices; two-way graphical representation of data matrices; analytical comparison of two or more graphical representations. Part 2 Samples, populations and models: Data inspection or data analysis; distribution theory. Part 3 Analyzing ungrouped data: Estimation and hypothesis testing; reduction of dimensionality - inferential aspects of descriptive methods; discrete data. Part 4 Analyzing grouped data: Incorporating group structure - descriptive statistics; inferential aspects - the two-group case; inferential aspects - more than two groups. Part 5 Analyzing association among variables: Measuring and interpreting association; exploiting observed associations - manifest-variable models; explaining observed associations - latent-variable models. Conclusion - some general multivariate problems. Appendix - some basic matrix theory. References. Index.