401-0625-01L Applied Analysis of Variance and Experimental Design
|Semester||Autumn Semester 2014|
|Periodicity||yearly recurring course|
|Language of instruction||English|
|Abstract||Key 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.|
|Objective||Participants 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.|
|Content||Principles 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 notes||see website|
|Literature||D. 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 / Notice||Former 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.