Sharma:

Applied Multivariate Techniques

Student Companion Site

Table Of Contents

Chapter 1: Introduction

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Chapter 2: Geometric Concepts of Data Manipulation

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Chapter 3: Fundamentals of Data Manipulation

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Chapter 4: Principal Components Analysis

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Chapter 5: Factor Analysis

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Chapter 6: Confirmatory Factor Analysis

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Chapter 7: Cluster Analysis

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Chapter 8: Two-Group Discriminant Analysis

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Chapter 9: Multiple-Group Discriminant Analysis

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Chapter 10: Logistic Regression

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Chapter 11: Multivariate Analysis of Variance

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Chapter 12: Assumptions

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Chapter 13: Canonical Correlation

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Chapter 14: Covariance Structure Models

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