Handbook of Applied Multivariate Statistics and Mathematical Modeling
Howard E.A. Tinsley (Editor), Steven D. BrownBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
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.
Synopsis
The Handbook of Applied Multivariate Statistics and Mathematical Modeling enables researchers to understand which techniques are useful for answering different kinds of questions. Statistics are presented as an easy to use tool that does not require knowledge of the mathematical basis of the technique in order to be effective. Coverage includes 95% of techniques in common usage and each chapter discusses the data requirements for each technique, decisions necessary to perform the analysis, and interpretation of results. In depth examples provide applications of procedures to data in the biological and social sciences.
Booknews
A comprehensive overview of the multivariate statistical and mathematical modeling procedures used by research scientists in the physical, biological, and social sciences and in the humanities. The editors say the approaches covered by their handbook account for over 95 percent of such procedures reported in the research literature. Each chapter provides an overview of the types of question best answered by the technique, the data requirements of the technique, the decisions necessary to perform the analysis, and considerations in interpreting results. Intended both for students and for applied researchers seeking advice on how to use the techniques to best advantage. Annotation c. Book News, Inc., Portland, OR (booknews.com)