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For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified.

New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

More Information
ISBN/EAN 9781292021904
Author Joseph F. Jr Hair, William C. Black, Barry J. Babin, Rolph E. Anderson (Authors)
Publisher Pearson Education Limited
Publication date 17 Jul 2013
Format Paperback
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You're reviewing:Multivariate Data Analysis: Pearson New International Edition

Multivariate Data Analysis: Pearson New International Edition

Joseph F. Jr Hair, William C. Black, Barry J. Babin, Rolph E. Anderson (Authors)
€69.00

For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Market research, Probability & statistics

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