STAT 578
Regression Analysis
2015
Topics
- Least squares and likelihood
- Multicollinearity and ridge regression
- Weighted and generalized least squares
- Logistic and nonlinear regression
- Influence diagnostics
- Splines, kernels and local regression
- Lasso and quantile regression
- Robust estimation and design
Readings
- Montgomery and Peck. Introduction to Linear Regression Analysis. Wiley.
- Bates and Watts. Nonlinear Regression Analysis and Its Applications. Wiley.
- Venables and Ripley. Modern Applied Statistics with S. Springer.
- Maronna, Martin and Yohai. Robust Statistics — Theory and Methods. Wiley.
- Draper and Smith. Applied Regression Analysis. Wiley.
- Seber and Wild. Nonlinear Regression. Wiley.
- Hastie, Tibshirani and Friedman. The Elements of Statistical Learning. Springer.
- Rousseeuw and Leroy. Robust Regression and Outlier Detection. Wiley.
Sources
- Course catalogue ↗2026–2027
- STAT 578 REGRESSION ANALYSIS · Reading-list link; contents not retrieved ↗
- Regression Analysis ↗2015
- Course source ↗
- No required textbook. The schedule heading says Winter 2015, but its listed dates run September–December; term left unspecified because the source is inconsistent.