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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 a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Carroll, J. Douglas
Otros Autores: Green, Paul E., Chaturvedi, Anil, 1948-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, �1997.
Edición:Rev. ed.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Carroll, J. Douglas. 
245 1 0 |a Mathematical tools for applied multivariate analysis /  |c J. Douglas Carroll, Paul E. Green, with contributions by Anil Chaturvedi. 
250 |a Rev. ed. 
260 |a San Diego :  |b Academic Press,  |c �1997. 
300 |a 1 online resource (xiii, 376 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a 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. 
505 0 |a 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. -- Appendices: -- Symbolic Differentiation and Optimization of Multivariable Functions. -- Linear Equations and Generalized Inverses. -- Answers to Numerical Problems. -- References. -- Index. 
500 |a Green's name appears first on the earlier edition. 
504 |a Includes bibliographical references (pages 364-367) and index. 
588 0 |a Print version record. 
650 0 |a Multivariate analysis. 
650 2 |a Multivariate Analysis  |0 (DNLM)D015999 
650 6 |a Analyse multivari�ee.  |0 (CaQQLa)201-0002611 
650 7 |a Multivariate analysis  |2 fast  |0 (OCoLC)fst01029105 
650 1 7 |a Multivariate analyse.  |2 gtt 
650 1 7 |a Lineaire algebra.  |2 gtt 
700 1 |a Green, Paul E. 
700 1 |a Chaturvedi, Anil,  |d 1948- 
776 0 8 |i Print version:  |a Carroll, J. Douglas.  |t Mathematical tools for applied multivariate analysis.  |b Rev. ed.  |d San Diego : Academic Press, �1997  |z 0121609545  |z 9780121609542  |w (DLC) 97074470  |w (OCoLC)38174267 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780121609542  |z Texto completo