| Detailed information |
| Pre-requisites |
keine
|
| Original study plan |
Master's programme Statistics 2019W |
| Objectives |
Principles of effective data collection and corresponding software. Design, hands-on experiment and analysis in a simple situation.
|
| Subject |
randomization, blocking, replication
simple factorial designs, fractional factorials
screening designs
response surface designs
optimal design of experiments
design algorithms
|
| Criteria for evaluation |
Presentation and written description of a concrete designed experiment, homework exercises, final exam
|
| Methods |
Lecture and interactive work with experimental design software
|
| Language |
English |
| Study material |
Atkinson A. C., Donev A. N. and Tobias R. D. (2007). Optimum Experimental Designs, with SAS. Oxford University Press.
Anderson M. J. and Whitcomb P. J. (2007). DOE Simplified: Practical Tools for Effective Experimentation, Second Edition, 2nd Edition. Productivity Press.
|
| Changing subject? |
No |
| Corresponding lecture |
5MSVPKV: KV Versuchsplanung (6 ECTS)
|
