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: eBook
Published: Chichester, West Sussex : Wiley & Sons, 2001.
Edition:2nd ed.
Online Access:CONNECT
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.