Categorical Data Analysis, 7.5 credits

The course covers analysis of discret data, in particular different numbers and proportions. This type of data can be often represented by so called contingence tables. In such cases the methods based on linear models are not appropriate. This is more suitable to use other distributions as binomial, multinomial and Poisson distributions and define the effects as multiplicativ instead additiv.