9780126913606-0126913609-Handbook of Applied Multivariate Statistics and Mathematical Modeling

Handbook of Applied Multivariate Statistics and Mathematical Modeling

ISBN-13: 9780126913606
ISBN-10: 0126913609
Edition: 1
Author: Steven D. Brown, Howard E.A. Tinsley
Publication date: 2000
Publisher: Academic Press
Format: Hardcover 760 pages
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Book details

ISBN-13: 9780126913606
ISBN-10: 0126913609
Edition: 1
Author: Steven D. Brown, Howard E.A. Tinsley
Publication date: 2000
Publisher: Academic Press
Format: Hardcover 760 pages

Summary

Handbook of Applied Multivariate Statistics and Mathematical Modeling (ISBN-13: 9780126913606 and ISBN-10: 0126913609), written by authors Steven D. Brown, Howard E.A. Tinsley, was published by Academic Press in 2000. With an overall rating of 3.8 stars, it's a notable title among other Mental Health (Testing & Measurement, Psychology & Counseling, Testing & Measurement, Psychology) books. You can easily purchase or rent Handbook of Applied Multivariate Statistics and Mathematical Modeling (Hardcover, Used) from BooksRun, along with many other new and used Mental Health books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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.

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