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Multivariate Data Analysis
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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.
NEW FEATURES:
– HBAT-NEW Database
– NEW "Rules of Thumb"
– Expanded coverage of Structural Equations Modeling
– Additional support for instructors！NEW website: www.prenhall.com/hair
NEW FEATURES:
– HBAT-NEW Database
– NEW "Rules of Thumb"
– Expanded coverage of Structural Equations Modeling
– Additional support for instructors！NEW website: www.prenhall.com/hair
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