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Applied Analysis of Variance and Experimental Design
| Professor | Prof. Marianne Müller | Time | Mo 13-15 |
| Koordinator | Sylvain Robert | Place |
HG F 3 |
Beginning of lecture: Monday, 22/09/2014. (Exercises start on 6/10/2014 with a special introduction to the "R" software)
Attendance certificate conditions: None.
Doctoral students: Attaining the exam is required for doctoral students in order to obtain credit points.
Objective
At the end of his course you will be able to design an experimental study, carry out an appropriate statistical analysis of the data and properly interpret and communicate the results.
Notice: Former course title: "Angewandte Varianzanalyse und Versuchsplanung" / "Applied Analysis of Variance and Design of Experiments"
Recommended Text: Montgomery, D. C. (2012) Design and Analysis of Experiments, Wiley, New York
Outline
| Date | Topic | Slides/Notes | |
| 22.09.2014 |
L+L |
Introduction | Syllabus, Literature, Slides 1 |
| 29.09.2014 |
L+L |
1-Factor Experiments: Model, F-test, Anova table | Slides 2 |
| 06.10.2014 |
E+E |
Lab: Introduction to R | |
| 13.10.2014 |
L+L |
1-Factor Experiments: Model checking, Parameter estimation, Treatment Comparisons | Slides 3 |
| 20.10.2014 |
L+E |
Randomize Complete Block Designs | Slides 4 |
| 27.10.2014 |
L+L |
Two-way Anova | Slides 5 |
| 03.11.2014 |
L+E |
Multifactor Experiments | Slides 5 |
| 10.11.2014 |
L+L |
2k Factorials | Slides 6 |
| 17.11.2014 |
L+E |
Fractional Factorials | Slides 7 |
| 24.11.2014 |
L+L |
Models with Random Effects | Slides 8 |
| 01.12.2014 |
L+E |
Crossover Designs, Latin Squares | Slides 9 |
| 08.12.2014 |
L+L |
Split Plot Designs, Repeated Measures | Slides 10 |
| 15.12.2014 |
L+E |
BIBD, Power and Sample Size | Slides 4, Slides 11 |
Exercise: Details about the exercises can be found here
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