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Mathematical Tools for Applied Multivariate Analysis Revised Edition
Contributor(s): Carroll, J. Douglas (Author), Green, Paul (Author), Chaturvedi, Anil (Editor)

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ISBN: 0121609553     ISBN-13: 9780121609559
Publisher: Academic Press
OUR PRICE: $92.35  

Binding Type: Paperback - See All Available Formats & Editions
Published: September 1997
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Annotation: This revised edition presents the relevant aspects of transformational geometry, matrix algebra, and calculus to those who may be lacking the necessary mathematical foundations of applied multivariate analysis. It brings up-to-date many definitions of mathematical concepts and their operations. It also clearly defines the relevance of the exercises to concerns within the business community and the social and behavioral sciences. Readers will gain a technical background for tackling applications-oriented multivariate texts and receive a geometric perspective for understanding multivariate methods.
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Multivariate Analysis
- Psychology | Assessment, Testing & Measurement
- Social Science | Human Geography
Dewey: 519.535
LCCN: 97074470
Physical Information: 0.93" H x 6.04" W x 9.08" L (1.25 lbs) 376 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This revised edition presents the relevant aspects of transformational geometry, matrix algebra, and calculus to those who may be lacking the necessary mathematical foundations of applied multivariate analysis. It brings up-to-date many definitions of mathematical concepts and their operations. It also clearly defines the relevance of the exercises to concerns within the business community and the social and behavioral sciences. Readers gain a technical background for tackling applications-oriented multivariate texts and receive a geometric perspective for understanding multivariate methods.Mathematical Tools for Applied Multivariate Analysis, Revised Edition illustrates major concepts in matrix algebra, linear structures, and eigenstructures geometrically, numerically, and algebraically. The authors emphasize the applications of these techniques by discussing potential solutions to problems outlined early in the book. They also present small numerical examples of the various concepts.
 
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