Applied Multivariate Statistical Analysis, 6th International Edition

This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples.  Offers an abundance of examples and exercises based on real data.  Appropriate for experimental scientists in a variety of disciplines.

Table of Contents

Chapter 1. Aspects of Multivariate Analysis
Chapter 2. Matrix Algebra and Random Vectors
Chapter 3. Sample Geometry and Random Sampling
Chapter 4. The Multivariate Normal Distribution
Chapter 5. Inferences About a Mean Vector
Chapter 6. Comparisons of Several Multivariate Means
Chapter 7. Multivariate Linear Regression Models
Chapter 8. Principal Components
Chapter 9. Factor Analysis and Inference for Structured Covariance Matrices
Chapter 10. Canonical Correlation Analysis
Chapter 11. Discrimination and Classification
Chapter 12. Clustering, Distance Methods and Ordination