The course consists of a mix of theory and applications. Topics include but are not restricted to selections drawn from the following three areas: 1. Classical linear model theory; 2. Generalized linear models, binary data, log-linear models, quasi-likelihood models, model checking; 3. Additive models, generalized additive models, response transformation models.
This course may not be repeated for credit.
Sections
This course will be offered next in
Fall 2009.