401-0625-01L  Applied Analysis of Variance and Experimental Design

SemesterAutumn Semester 2014
LecturersM. Müller
Periodicityyearly recurring course
Language of instructionEnglish


AbstractKey concepts of experimental design. Planning and analysis of single factor experiments, block designs, full factorial and fractional designs, split-plot and strip-plot designs. Random effects and mixed effects models.
ObjectiveParticipants will be able to plan and analyze efficient experiments in the fields of natural sciences. They will gain practical experience by using the software R.
ContentPrinciples of experimental design. One-way analysis of variance. Block designs. Multifactor experiments and analysis of variance. Full factorials and fractional designs. Crossover and Latin square designs. split-plot and strip-plot designs. Random effects and mixed effects models.
Lecture notessee website
LiteratureD. C. Montgomery: Design and Analysis of Experiments (8th ed.). Wiley, New York, 2012.

R. Mead, R. N. Curnov and A. M. Hasted: Statistical Methods in Agriculture and Experimental Biology (3rd ed.). Chapman & Hall, London, 2003.

A. J. Underwood: Experiments in ecology: their logical design and interpretation using analysis of variance. Cambridge University Press, Cambridge, 1997.
Prerequisites / NoticeFormer course title: "Angewandte Varianzanalyse und Versuchsplanung" / "Applied Analysis of Variance and Design of Experiments"

401-0625-01L and 401-0625-99L are mutually exclusive. You may register for at most one of these two course units.