STATS 4M03
MULTIVARIATE ANALYSIS
Fall 2026 · C01
Readings
- eText Applied Multivariate Statistical Analysis (Classic Version) - 6 Month Access Ed: 6ISBN 9780137980963
- eText An Introduction To Applied Multivariate Analysis With R 6 Month AccessISBN 9781441996503; 9781441996497
Fall 2026 · C01
Topics
- Course logistics, introduction to multivariate data, Statistical preliminaries and R
- Review of linear algebra, eigen decomposition, singular value decomposition
- Principal component analysis (geometry, transformation, and examples in R)
- The multivariate normal distribution (properties, examples)
- The Wishart distribution and examples
- General linear hypothesis testing, MANOVA, examples in R
- Discriminant analysis (maximum likelihood discriminant rule, nonparametric, examples)
- Multinomial logistic regression and examples
- Canonical correlation analysis (CCA), CCA examples in R
- Cluster analysis or ordinal analysis
- Review for finals
Readings
- Applied Multivariate Statistical AnalysisPearson
- Applied Multivariate Statistics
- R and RMarkdown or Quarto
- Applied Multivariate Statistical Analysis Authors: Johnson, R. A., & Wichern, D. W. Publisher: Pearson Publication Date: 2007 Edition: 6
- Post Assignment 1
- Quiz 2??
- Assignment 1 due Post Assignment 2
- Assignment 2 due
- Mid-term exam (in class) on October 9, 2026
- Quiz 3 ??
- Quiz 4??
- Quiz 5 ??
- Quiz 6??
Fall 2025 · C01
Readings
- Etext Applied Multivariate Statistical Analysis (Classic Version) - 6 Month Access Ed: 6ISBN 9780137980963
Sources
- Course catalogue ↗2026–2027
- Campus Store (short title) ↗
- Campus Store reading list ↗Fall 2026
- Course outline / syllabus ↗Fall 2026
- Campus Store reading list ↗Fall 2025