Subject description
- ANOVA and linear models.
- Nonparametric alternatives.
- Multiple comparison tests. Contrasts.
- Fixed factors, random factors.
- Designs for several fixed/random factors.
- More complex designs, mixed models.
The subject is taught in programs
Objectives and competences
Main objective is to give students an overview of concepts and of statistical methods for design and analysis of experiments in different fields of research.
Teaching and learning methods
Lectures, seminar.
Part of the pedagogical process will be carried out with the help of ICT technologies and the opportunities they offer.
Expected study results
Knowledge and understanding:
understanding and skills to be able to design and analyse results of experiments and observations in R programme environment.
Basic sources and literature
- Rice J. A. (2006): Mathematical Statistics and Data Analysis. Third Edition. International Thomson Publishing.
- Montgomery D. C. (2013). Design and Analysis of Experiments. Wiley.
- Pinheiro J. C. in Bates D. M. (2000). Mixed-Effects Models in S and S-PLUS. Springer.
- Košmelj K., Kastelec D.: Študijsko gradivo (pdf datoteke) dostopno v spletni učilnici in na USB ključku v knjižnici.
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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana