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STAT 505 Applied Multivariate Statistical Analysis

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Lesson

Lesson 0: Matrices and Vectors

Lesson 1: Measures of Central Tendency, Dispersion and Association

Lesson 2: Linear Combinations of Random Variables

Lesson 3: Graphical Display of Multivariate Data
- 3.1 - Graphical Methods
- 3.2 - Summary

Lesson 4: Multivariate Normal Distribution

Lesson 5: Sample Mean Vector and Sample Correlation and Related Inference Problems

Lesson 6: Multivariate Conditional Distribution and Partial Correlation

Lesson 7: Inferences Regarding Multivariate Population Mean
- 7.1 - Basic
- 7.2 - Advanced

Lesson 8: Multivariate Analysis of Variance (MANOVA)

Lesson 9: Repeated Measures Analysis

Lesson 10: Discriminant Analysis

Lesson 11: Principal Components Analysis (PCA)

Lesson 12: Factor Analysis

Lesson 13: Canonical Correlation Analysis

Lesson 14: Cluster Analysis

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