Edited by
Howard Tinsley, University of Florida, Gainesville, U.S.A.
Steven Brown, Loyola University of Chicago, Wilmette, Illinois, U.S.A.
Description
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many
practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep
abreast of new developments. The
Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the
appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers
to use these procedures effectively without needing to concern themselves with the mathematical basis. The
Handbook
emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish
which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate
statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences
as well as the humanities.
Audience:
Scientific researchers, academics, and research professionals in applied settings in the biological and social sciences
