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
Binding Type: Paperback - See All Available Formats & Editions Published: September 1997 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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