Applied multivariate data analysis

Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patte...

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Bibliographic Details
Main Author Everitt, Brian
Other Authors Dunn, Graham
Format Electronic eBook
LanguageEnglish
Published Chichester, West Sussex : Wiley & Sons, 2001.
Edition2nd ed.
Subjects
Multivariate analysis.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781613446386
1613446381
9781118887486
1118887484
0470711175
Physical Description1 online resource

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Table of Contents:
  • 1. Multivariate Data and Multivariate Statistics
  • 2. Exploring Multivariate Data Graphically
  • 3. Principal Components Analysis
  • 4. Correspondence Analysis
  • 5. Multidimensional Scaling
  • 6. Cluster Analysis
  • 7. The Generalized Linear Model
  • 8. Regression and the Analysis of Variance
  • 9. Log-Linear and Logistic Models for Categorical Multivariate Data
  • 10. Models for Multivariate Response Variables
  • 11. Discrimination, Classification and Pattern Recognition
  • 12. Exploratory Factor Analysis
  • 13. Confirmatory Factor Analysis and Covariance Structure Models
  • Appendix A: Software Packages
  • Appendix B: Missing Values
  • Appendix C: Answers to Selected Exercises
  • References
  • Index.

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