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文件名:  Applied Multivariate Statistical Analysis, 5th Edition.pdf
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Applied Multivariate Statistical Analysis (5th Edition) Richard A. Johnson (Author), Dean W. Wichern (Author)



From the PublisherA classic applied approach to multivariate analysis for those involved in the social, biological, and physical sciences. --This text refers to an out of print or unavailable edition of this title.

From the Back CoverThis market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Chapter topics include aspects of multivariate analysis, matrix algebra and random vectors, sample geometry and random sampling, the multivariate normal distribution, inferences about a mean vector, comparisons of several multivariate means, multivariate linear regression models, principal components, factor analysis and inference for structured covariance matrices, canonical correlation analysis, and discrimination and classification. For experimental scientists in a variety of disciplines.

Hardcover: 767 pages Publisher: Prentice Hall; 5 edition (December 6, 2001) Language: English ISBN-10: 0130925535 ISBN-13: 978-0130925534



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