Analysis and Design of Experiments

Sommersemester
Art Zeit Ort Dozent
V; 2 SWS
Ü; 1 SWS
LSF LSF

Zihao Wang

Preliminaries:
  • Basics of Math
  • Interest in basic science and applications

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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Letzte Änderung: 20.10.2022 - Ansprechpartner: Webmaster