First term objectives: Random vectors, Multivariate normal distribution, Distributions of quadratic forms, Least squares estimation, Gauss Markov theorem, Orthogonal structures, Generalized least squares, Estimable functions, Hypothesis testing, Simultaneous confidence intervals, Departures from assumptions, Diagnostics.
Text: Franklin A. Graybill, Theory and Application of the Linear Model, Wadsworth, 2000.
Useful links: [ General Course Info | Chuck Rohde's Notes | Introduction to R (CRAN) | Introduction to R (Ingo) | Karl Broman's R Page | Julian Faraway's Book ]
N: Notes
R: Reading
H: Homework
C: Code