Robustness Measures and Numerical Approximation of the Cumulative Density Function of Response Surfaces

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Název: Robustness Measures and Numerical Approximation of the Cumulative Density Function of Response Surfaces
Autoři: Rhein, Beate, Clees, Tanja, Ruschitzka, Margot
Informace o vydavateli: TAYLOR & FRANCIS INC 2014
Druh dokumentu: Electronic Resource
Abstrakt: Robust design optimization is used to examine the effect of variations in the design variables, for example production tolerances, on the response variables. This article presents a new approach for uncertainty propagation, supplemented by a comparativestudy of various methods. These are design of experiments in combination with quantile and kernel density estimation to approximate the cumulative density function of the response. The accuracy and efficiency of the novel methods in comparison to the standard method of determining, which is the empirical distribution function is investigated by means of mathematical analyses and a numerical study proving the suitability of the proposed proceeding. The article also discusses different robustness measures and their suitability in engineering. A new one based on quantiles is introduced.
Témata: ddc:no, doc-type:article, publishedVersion
URL: https://kups.ub.uni-koeln.de/45284/
https://kups.ub.uni-koeln.de/45284
10.1080/03610918.2012.690637
Dostupnost: Open access content. Open access content
Poznámka: English
Other Numbers: K7U oai:USBKOELN.ub.uni-koeln.de:45284
Rhein, Beate, Clees, Tanja and Ruschitzka, Margot (2014). Robustness Measures and Numerical Approximation of the Cumulative Density Function of Response Surfaces. Commun. Stat.-Simul. Comput., 43 (1). S. 1 - 18. PHILADELPHIA: TAYLOR & FRANCIS INC. ISSN 0361-0918
1247376960
Přispívající zdroj: UNIVERSITATS- UND STADTBIBLIOTHEK KOLN
From OAIster®, provided by the OCLC Cooperative.
Přístupové číslo: edsoai.on1247376960
Databáze: OAIster
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