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This text provides a classic applied approach to multivariate analysis for those involved in the social, biological, and physical sciences. It offers clear, concise explanations of the results needed to understand output from the standard multivariate analysis computer packages and to make proper interpretations, select appropriate techniques, and evaluate their strengths and weaknesses.
FEATURES :
Provides an in-depth discussion on the dimensionality of multivariate data, growth curves and classification and regression trees (CART).
Includes a new section on data mining in Chapter 12.
Considers the latest graphical procedures and computer-aided analysis of structural equations, and utilizes real data throughout.
Provides a chapter-length introduction to matrix algebra for those with no previous background in the area.
Includes abundant exercises, extensive collections of real data sets, and a wealth of illustrations.ISBN 9788120339927
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