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140519s2014 enk eng |
| 020 |
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|a 129202190X
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|a 9781292021904
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| 050 |
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|a QA278
|b .M85 2014
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| 090 |
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|a QA278
|b .M85 2014
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| 245 |
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|a Multivariate data analysis
|c Joseph F. Hair ... [et al.]
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| 250 |
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|a 7th ed
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| 260 |
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|a England :
|b Pearson Education Limited ,
|c c2014
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| 300 |
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|a 734 p. :
|b ill. ;
|c 27 cm.
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| 505 |
0 |
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|a 1. Overview of multivariate methods --2. Examining your data --3. Exploratory factor analysis --4. Multiple regression analysis --5. Multiple discriminant analysis --6. Logistic regression: Regression with a binary dependent variable --7. Conjoint analysis --8. Cluster analysis --9. Multidimensional scaling --10. Analysis nominal data with correspondence analysis --11. Structural equations modeling overview --12. Confirmatory factor analysis --13. Testing structural equations models
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| 520 |
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|a For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text 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 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
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| 650 |
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0 |
|a Multivariate analysis
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| 650 |
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0 |
|a Multivariate analysis
|x Data processing
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| 650 |
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0 |
|a Multivariate analysis
|x Statistics
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| 700 |
0 |
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|a Hair, Joseph F. ,
|e author
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| 999 |
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|a 1000165736
|b Book
|c OPEN SHELF (30 DAYS)
|e Gong Badak Campus
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