Multivariate Data Analysis

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Pearson Prentice Hall, 2006 - Mathematics - 899 pages
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Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations.

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About the author (2006)

Joseph F. Hair is a member of the American Marketing Association, Academy of Marketing Science, Southern Marketing Association and Southwestern Marketing Association. He has authored 30 books, monographs, and cases, and over 60 articles in scholarly journals. He serves on the editorial review boards of several journals and was the 2004 recipient of the Academy of Marketing Science Excellence in Teaching Award. Hair serves as a consultant to many businesses.

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