# Mathematical Tools for Applied Multivariate Analysis

## Carroll, J. Douglas; Green, Douglas

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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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"[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

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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## 1.Mathematical Tools for Applied Multivariate Analysis

ISBN 10: 0121609553 ISBN 13: 9780121609559
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Book Description Academic Press 1997-09, 1997. Book Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Bookseller Inventory # NU-LSI-06984118

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## 2.Mathematical Tools for Applied Multivariate Analysis (Paperback)

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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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## 3.Mathematical Tools for Applied Multivariate Analysis (Paperback)

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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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Book Description Elsevier Science Publishing Co Inc, 1997. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # LQ-9780121609559

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Book Description Academic Press 1997-10-14, 1997. Paperback. Book Condition: New. Rev Sub. 0121609553. Bookseller Inventory # 510260

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## 6.Mathematical Tools for Applied Multivariate Analysis

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Book Description Academic Press, 1997. Paperback. Book Condition: NEW. 9780121609559 376pp., Paperback, This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE0890750

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Book Description Academic Press, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9780121609559_lsuk

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Book Description Academic Press, 1997. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: The Nature of Multivariate Data Analysis. Vector and Matrix Operations for Multivariate Analysis. Vector and Matrix Concepts from a Geometric Viewpoint. Linear Transformations from a Geometric Viewpoint. Decomposition of Matrix Transformations: Eigenstructures and Quadratic Forms. Applying the Tools to Multivariate Data. Appendix A: Symbolic Differentiation and Optimization of Multivariable Functions. Appendix B: Linear Equations and Generalized Inverses. Answers to Numerical Problems. References. Index. Bookseller Inventory # ABE_book_new_0121609553

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Book Description Elsevier Science Publishing Co Inc, 1997. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9780121609559

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## 10.Mathematical Tools for Applied Multivariate Analysis

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Book Description Academic Press, 1997. Paperback. Book Condition: New. 1. Bookseller Inventory # DADAX0121609553