Theory of estimation and testing in full and non-full rank linear models. Normal theory distributional properties. Least squares principle and the Gauss-Markoff theorem. Estimability and properties of best linear unbiased estimators. General linear hypothesis. Application of dummy variable methods to elementary classification models for balanced and unbalanced data. Analysis of covariance. Variance components estimation for balanced data.
Lectures: Mon/Wed, 11:45am-1:00pm, 5270 SAS Hall
Recitation: Wed, 1:30pm-2:45pm, 5270 SAS Hall
William Weimin Yoo email@example.com
Office hours: Tue @ 11am-12pm and Fri @ 12pm-1pm at Tutorial Center in 1101 SAS Hall