Multivariate Data Analysis (5th Edition)

Multivariate Data Analysis (5th Edition)

Editorial Reviews
Book Description

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.

From the Back Cover
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.

Multivariate Data Analysis (5th Edition),Joseph F. Hair,Ronald L. Tatham,Rolph E. Anderson,William Black,Prentice Hall,0138948585,Applied,Mathematics,Multivariate Analysis,Probability & Statistics - General,Probability & Statistics - Multivariate Analysis,Science/Mathematics,Statistics,Business & Economics / Statistics

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