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Chapter 1: Aspects of Multivariate Analysis
Chapter 2: Sample Geometry and Random Sampling
Chapter 3: Matrix Algebra and Random Vectors
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
Selected Additional References for Model Based Clustering
Appendix
Table 1: Standard Normal Probabilities
Table 2: Student’s T-Distribution Percentage Points
Table 3: X2 Distribution Percentage Points
Table 4: F-Distribution Percentage Points (α = 10)
Table 5: F-Distribution Percentage Points (α = .05)
Table 6: F-Distribution Percentage Points (α = .01)
Index