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Design of Experiments

Summary

The subject Design of Experiments (DOE) expands the subject matter of regression analysis. Basic strategies of data preparation for regression models are discussed, as are full and fractional factorial plans. The emphasis is placed on the balance between statistical requirements and economic efficiency of data sampling. Construction of experimental plans is accompanied by the methodology of finding key inputs to the modelled process and their optimal set-up. The one-way and two-way analysis of variance (ANOVA) are also part of the subject. The generalizing chapters on dynamic planning and robust technology design are included.

Literature

BOX, G. E. P., W. G. HUNTER a J. S. HUNTER. Statistics for Experimenters. NY: John Wiley & Sons, 1978. ISBN 0-471-09315-7 .
MONTGOMERY, D. C. Design and Analysis of Experiments. NY: Wiley, 2004. ISBN 978-0-470-12866-4.
STREET, D. J. a L. BURGESS. The Construction of Optimal Stated Choice Experiments: Theory and Methods. NY: Wiley, 2007. ISBN 978-0-470-05332-4 .

Advised literature

JIJU, A. Design of Experiments for Engineers and Scientists. Oxford: Butterworth Heinemann, 2003. ISBN 978-00-80-46995-9 .
MYERS, R. H. a D. C. M. MONTGOMERY. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. NY: Wiley, 2009. ISBN 0-471-41255-4.


Language of instruction čeština, čeština, čeština, čeština, angličtina, angličtina, čeština, angličtina, angličtina
Code 639-0925
Abbreviation DOE
Course title Design of Experiments
Coordinating department Department of Quality Management
Course coordinator Ing. Mgr. Petra Halfarová, Ph.D.