In this module we study how to analyze data that are not normally distributed. We look at fractions (logistic regression), counts (Poisson regression, log-linear models), ordinal data (threshold models), and overdispersion. We discuss (quasi-) maximum likelihood estimation and the deviance. In computer practicals participants can familiarize themselves with models and methods.
Course Frequency | once per year |
Prior knowledge | Knowledge level obtained from the Linear Models Module |
Intended credits | 0.6 ECTS |
Course organisation | The C.T. de Wit Graduate School for Production Ecology and Resource Conservation (PE&RC) |
More information | Course website |