Handbook of Applied Multivariate Statistics and Mathematical Modeling

ISBN 10: 0126913609 / ISBN 13: 9780126913606

Published by Academic Press, 2000

About this Item

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Seller Inventory # wbs7737991954

Bibliographic Details

• Title: Handbook of Applied Multivariate Statistics and Mathematical Modeling
• Publisher: Academic Press
• Publication Date: 2000
• Language: English
• ISBN 10: 0126913609
• ISBN 13: 9780126913606
• Binding: Hardcover
• Condition: Like New
• Weight: 1247.4 grams

About this title

Synopsis

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.

From the Back Cover

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.