Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt. Bitte lesen Sie die publizierten Informationen zu den einzelnen Lehrveranstaltungen genau.
Principles of experimental design. One-way analysis of variance. Multi-factor experiments and analysis of variance. Block designs. Latin square designs. Split-plot and strip-plot designs. Random effects and mixed effects models. Full factorials and fractional designs.
Lernziel
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.
Inhalt
Principles of experimental design. One-way analysis of variance. Multi-factor experiments and analysis of variance. Block designs. Latin square designs. Split-plot and strip-plot designs. Random effects and mixed effects models. Full factorials and fractional designs.
Literatur
G. Oehlert: A First Course in Design and Analysis of Experiments, W.H. Freeman and Company, New York, 2000.
Voraussetzungen / Besonderes
The exercises, but also the classes will be based on procedures from the freely available, open-source statistical software R, for which an introduction will be held.
