Handbook of Applied Multivariate Statistics and Mathematical Modelling

Tinsley, Howard E.A.; Brown, Steven D.

ISBN 10: 0126913609 / ISBN 13: 9780126913606

Published by Academic Press, USA, 2000

About this Item

721 pages. The book is a little worn with a small tear in the cloth cover near the spine. Books listed here are not stored at the shop. Please contact us if you want to pick up a book from Newtown. Size: Size F: 8"-9" Tall (203-228mm). Seller Inventory # 153031

Bibliographic Details

Title: Handbook of Applied Multivariate Statistics ...

Publisher: Academic Press, USA

Publication Date: 2000

Binding: Hard Cover

Condition: Good

Dust Jacket Condition: No Dust Jacket

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.