Applied multivariate analysis /

This textbook provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the developm...

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Bibliographic Details
Main Author: Timm, Neil H. (συγγραφέας.)
Format: eBook
Language:English
Published: New York : Springer, c2002.
Series:Springer texts in statistics
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=98895
Table of Contents:
  • Cover
  • Preface
  • Acknowledgments
  • Contents
  • List of Tables
  • List of Figures
  • 1. Introduction
  • 2. Vectors and Matrices
  • 3. Multivariate Distributions and the LInear Model
  • 4. Multivariate Regression Models
  • 5. Seemingly Unrelated Regression Models
  • 6. Multivariate Random and MIxed Models
  • 7. Discriminant and Classification Analysis
  • 8. Principal Component, Canonical Correlation, and Exploratory FActor Analysis
  • 9. Cluster Analysis and Multidimensional Scaling
  • 10. Structural Equation Models
  • Appendix A
  • References
  • Author Index.