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Multivariate Data Reduction and Discrimination with SAS Software

ISBN: 978-0-471-32300-6
584 pages
August 2000
Multivariate Data Reduction and Discrimination with SAS Software (0471323004) cover image
Easy to read and comprehensive, this book presents descriptive multivariate (DMV) statistical methods using real-world problems and data sets. It offers a unique approach to integrating statistical methods, various kinds of advanced data analyses, and applications of the popular SAS software aids. Emphasis is placed on the correct interpretation of output to draw meaningful conclusions in a variety of disciplines and industries.
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Basic Concepts for Multivariate Statistics.

Principal Component Analysis.

Canonical Correlation Analysis.

Factor Analysis.

Discriminant Analysis.

Cluster Analysis.

Correspondence Analysis.

Appendix.

References.

Index.
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"...a core or supplementary text for graduate or senior undergraduate students, and a reference for researchers and practitioners." (SciTech Book News, Vol. 24, No. 4, December 2000)
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