[ 951STCOEXPK14 ] KV Experimental Design

Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Statistics 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS M1 - Master's programme 1. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
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)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority