Sharma:

Applied Multivariate Techniques

Instructor Companion Site

Table Of Contents

Chapter 1: Introduction

Chapter 2: Geometric Concepts of Data Manipulation

Chapter 3: Fundamentals of Data Manipulation

Chapter 4: Principal Components Analysis

Chapter 5: Factor Analysis

Chapter 6: Confirmatory Factor Analysis

Chapter 7: Cluster Analysis

Chapter 8: Two-Group Discriminant Analysis

Chapter 9: Multiple-Group Discriminant Analysis

Chapter 10: Logistic Regression

Chapter 11: Multivariate Analysis of Variance

Chapter 12: Assumptions

Chapter 13: Canonical Correlation

Chapter 14: Covariance Structure Models

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