This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research,soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.

part 1|54 pages


chapter 1|15 pages


chapter 2|16 pages

Multivariate distributions

chapter 3|21 pages

Preliminary data analysis

part 2|35 pages

Finding new underlying variables

chapter 4|25 pages

Principal component analysis

chapter 5|8 pages

Factor analysis

part 3|96 pages

Procedures based on the multivariate normal distribution

part 4|44 pages

Multidimensional scaling and cluster analysis

chapter 10|23 pages

Multidimensional scaling

chapter 11|19 pages

Cluster analysis