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APPLIED MULTIVARIATE TECHNIQUES

SUBHASH SHARMA, University of South Carolina
ISBN: 0-471-31064-6, 588 Pages, Cloth, 1996


Description:

This book takes a "kinder and gentler" approach that introduces students to the various multivariate techniques used in business without intimidating them with mathematical derivations. Geometry is used effectively to present non mathematical treatments of the techniques. Intended for the Sr/Grad level Advanced Research Analysis course.

Features:

Supplements:

Brief TOC:

  1. Introduction
  2. Geometric Concepts of Data Manipulation
  3. Fundamentals of Data Manipulation
  4. Principles Component Analysis
  5. Factor Analysis
  6. Confirmatory Factor Analysis
  7. Cluster Analysis
  8. Two-Group Discriminant Analysis
  9. Multiple Group Discriminant Analysis
  10. Logistic Regression
  11. Multivariate Analysis of Variance
  12. Assumptions in MANOVA
  13. Canonical Correlation
  14. Structural Models