Mathematical Tools for Applied Multivariate Analysis

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9780121609559: Mathematical Tools for Applied Multivariate Analysis

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. This book provides a technical base for tackling most applications-oriented multivariate texts. It presents a geometric perspective for aiding one's intuitive grasp of multivariate methods. It emphasizes technical terms current in the social and behavioral sciences, statistics, and mathematics. It can be used either as a stand-alone text or a supplement to a multivariate statistics textbook. It 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. It provides solutions for all exercises.

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Review:

"[The book's] approach is unique and should be an interesting and effective way to learn basic linear algebra, even for some who are primarily interested in linear algebra for its own sake". (--Choice) 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 behavioural 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, 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 and occasionally sketch proofs. -- Choice

About the Author:

J. Douglas Carroll is the Board of Governor's Professor of Marketing and Psychology in the Graduate School of Management at Rutgers, the State University of New Jersey. He holds a Ph.D. in mathematics from Princeton University. Dr. Carroll has published widely on multidimensional scaling and related techniques of data analysis. He is a member of several professional organizations.

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Book Description Elsevier Science Publishing Co Inc, United States, 1997. Paperback. Book Condition: New. 2nd Revised edition. 226 x 152 mm. Language: English . Brand New Book ***** Print on Demand *****.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. This book provides a technical base for tackling most applications-oriented multivariate texts. It presents a geometric perspective for aiding one s intuitive grasp of multivariate methods. It emphasizes technical terms current in the social and behavioral sciences, statistics, and mathematics. It can be used either as a stand-alone text or a supplement to a multivariate statistics textbook. It 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. It provides solutions for all exercises. Bookseller Inventory # AAV9780121609559

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Carroll, J. Douglas; Green, Douglas
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Book Description Elsevier Science Publishing Co Inc, United States, 1997. Paperback. Book Condition: New. 2nd Revised edition. 226 x 152 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. Key Features * Provides a technical base for tackling most applications-oriented multivariate texts * Presents a geometric perspective for aiding ones 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. Bookseller Inventory # AAV9780121609559

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