Multivariate analysis is a common and important statistical technique used whenever more than one characteristic is observed on each individual entity being studied. Applications are very wide-ranging, and arise in such areas as agriculture, biology, commerce, economics, medicine, psychology, sociology and linguistics. This two-volume work provides comprehensive coverage of the available techniques for analyzing data in this form.
Table of Contents
Multivariate distributions; initial data analysis; projections and linear transformations; distance methods and ordination; inference - estimation and hypothesis testing; multivariate linear models; nonlinear models; appendix - normal theory sampling distributions.