Bootstrap Identification of Confidence Intervals for the Non-Linear DoE Model

Abstract:

Design of experiment (DoE) is a methodology widely used in an industry and an academia. However the fundamentals of DoE are well known since first articles of R.A. Fisher, the uncertainty estimation is still the investigated issue due to the fact that non-linear outcome functions do not preserve the normal distribution. The analytical solutions are known only for a very limited number of transformation. Authors propose to involve a bootstrap approach to estimate the outcome uncertainty of the response surface model.

• Periodical: Applied Mechanics and Materials (Volume 712)
• Pages: 11-16
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.712.11
• Online since: January 2015
• Authors: Jacek Pietraszek*, Norbert Radek, Małgorzata Stojek, Andrii Goroshko, Maciej Kołomycki
• Keywords: Bootstrap, Confidence Interval, Design of Experiment (DOE), Response Surface Model, Simulation

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