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[ 5MSVPKV ] KV Experimental Design
Versionsauswahl
Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Statistics 2023W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
6 ECTS M2 - Master's programme 2. year Statistics Werner Müller 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Master's programme Statistics 2012W
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.
Methods Lecture and interactive work with Experimental Design Software
Language (*)Deutsch, bei Bedarf Englisch
Study material Atkinson, A. C. and Donev, A. N. and Tobias, R. D. (2007). Optimum Experimental Designs, with SAS. Oxford University Press.

Anderson, M. J., Whitcomb, P. J., Jul. 2007. DOE Simplified: Practical Tools for Effective Experimentation, Second Edition, 2nd Edition. Productivity Press.

Changing subject? No
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority