Analysis and Design of Experiments
| Sommersemester |
| Art |
Zeit |
Ort |
Dozent |
V; 2 SWS
Ü; 1 SWS |
LSF |
LSF |
N.N.
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Preliminaries:
- Basics of Math
- Interest in basic science and applications
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Content:
- Basic concepts: variables, parameters, models, design of experiments
- Statistical foundations: probability, probability distributions, population, sample, estimators, confidence intervals
- Parameter estimation: linear and nonlinear regression, simultaneous multiple regression, Bayesian regression, Maximum-Likelihood method, goodness/lack of fit, individual and joint confidence regions
- Design of experiments: classical design methods for models of first and second order, factorial and blocked designs, modern methods for use with computational models
- Interactive use of Matlab for illustrative purposes on important examples
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Downloads:
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