Matrix methods in statistics. Simple and multiple regression models. Sums of squares of linear sets. Generalised t- and F-tests. Residual analysis. Diagnostics for leverage, influence and multicolinearity. Indicator variables. Regression approach to analysis of variance. Weighted least squares. Theory is combined with practical work.
Faculty of Health Sciences Faculty of Natural and Agricultural Sciences
STK 310 and STK 320
1 lecture per week, 1 web-based period per week
Language of tuition
Module is presented in English
Period of presentation
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