Multivariate data analysis 
/ Joseph F. Hair (Author) [ et al...] 
 - Harlow:  Pearson Education Limited  ,2014. 
 - 734p.:  ill.;  28cm. 
<br/><br/>Includes references and index  
<br/><br/><br/>1. Overview of multivariate methods<br/>2. Examining your data<br/>3. Exploratory factor analysis<br/>4. Multiple regression analysis<br/>5. Multiple discriminate analysis<br/>6. Logistic regression: regression with a binary dependent variable<br/>7. Conjoint analysis<br/>8. Cluster analysis<br/>9. Multidimensional scaling<br/>10. Analyzing nominal data with correspondence analysis<br/>11. Structural equational modeling overview<br/>12. Confirmatory factor analysis<br/>13. Testing structural equations model<br/>14. MANOVA and GLM 
<br/><br/> 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 
<br/><br/><br/>eng. 
<br/><br/><label>ISBN: </label>9781292021904  Tzs 71,000/= 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Multivariate analysis  | Multivariate analysis |  Data processing  | Multivariate analysis Statistics | Statistics
<br/><br/><label>Dewey Class. No.: </label>519.535 MUL