Mathematical Tools for Applied Multivariate Analysis

Paul E. Green, with contributions by J. Douglas Carroll

ISBN 10: 0122975502 / ISBN 13: 9780122975509

Published by Academic Press, Inc., San Diego, California, 1976

About this Item

This hardcover book is in good condition, with some minor wear visible on the cover edges and corners. There is no dust jacket present. The spine and binding are intact, ensuring the book remains sturdy for use. The pages are clean, with no inscriptions or markings, making it a suitable copy for collectors and researchers alike. unknown (no dust jacket visible).

Seller Inventory # A9-B9-BRS-LKS-0290

Bibliographic Details

• Title: Mathematical Tools for Applied Multivariate Analysis
• Publisher: Academic Press, Inc., San Diego, California
• Publication Date: 1976
• Language: English
• ISBN 10: 0122975502
• ISBN 13: 9780122975509
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

This book introduces matrix algebra to students in behavioral and administrative sciences. It 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.

From the Back Cover

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-do-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.
Mathematical Tools for Applied Multivariate Analysis 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.
Key Features
* Provides a technical base for tackling most applications-oriented multivariate texts
* Presents a geometric perspective for aiding one's intuitive grasp of multivariate methods
* Emphasizes technical terms current in the social and behavioral sciences, statistics, and mathematics
* Can be used either as a stand-alone text or a supplement to a multivariate statistics textbook
* Employs many pictures and diagrams to convey an intuitive perception of matrix algebra concepts
* "Toy" problems provide a step-by-step approach to each model and matrix algebra concept
* Provides solutions for all exercises