Multivariate data analysis
Multivariate data analysis
/ Joseph F. Hair (Author) [ et al...]
- Harlow: Pearson Education Limited ,2014.
- 734p.: ill.; 28cm.
Includes references and index
1. Overview of multivariate methods
2. Examining your data
3. Exploratory factor analysis
4. Multiple regression analysis
5. Multiple discriminate analysis
6. Logistic regression: regression with a binary dependent variable
7. Conjoint analysis
8. Cluster analysis
9. Multidimensional scaling
10. Analyzing nominal data with correspondence analysis
11. Structural equational modeling overview
12. Confirmatory factor analysis
13. Testing structural equations model
14. MANOVA and GLM
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
eng.
9781292021904 Tzs 71,000/=
Multivariate analysis | Multivariate analysis | Data processing | Multivariate analysis Statistics | Statistics
519.535 MUL
Includes references and index
1. Overview of multivariate methods
2. Examining your data
3. Exploratory factor analysis
4. Multiple regression analysis
5. Multiple discriminate analysis
6. Logistic regression: regression with a binary dependent variable
7. Conjoint analysis
8. Cluster analysis
9. Multidimensional scaling
10. Analyzing nominal data with correspondence analysis
11. Structural equational modeling overview
12. Confirmatory factor analysis
13. Testing structural equations model
14. MANOVA and GLM
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
eng.
9781292021904 Tzs 71,000/=
Multivariate analysis | Multivariate analysis | Data processing | Multivariate analysis Statistics | Statistics
519.535 MUL