The Response Surface Methodology revisited - comparison of analytical and non-parametric approaches
Authors:
- Przemysław Osocha,
- Jordan Podgórski
Abstract
Since G.E.P. Box introduced central composite designs in early fifties of 20th century, the classic design of experiments (DoE) utilizes response surface models (RSM), however usually limited to the simple form of low-degree polynomials. In the case of small size datasets, the conformity with the normal distribution has very weak reliability and it leads to very uncertain assessment of a parameter statistical significance. The bootstrap approach appears to be better solution than – theoretically proved but only asymptotically equal – t distribution based evaluation. The authors presents the comparison of the RSM model evaluated by a classic method and bootstrap approach.
- Record ID
- CUT075951f3116742719c6a8e1466b5b978
- Publication categories
- ;
- Author
- Journal series
- Production Engineering Archives, ISSN 2353-5156, e-ISSN 2353-7779, Quarterly
- Issue year
- 2018
- Vol
- 20
- Pages
- 49-53
- Other elements of collation
- wykr.; Bibliografia (na s.) - 52; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 20
- Keywords in English
- expert system, design of experiment, factorials, Taguchi robust design, RSM
- DOI
- DOI:10.30657/pea.2018.20.10 Opening in a new tab
- URL
- http://www.qpij.pl/production-engineering-archives/20_10.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT075951f3116742719c6a8e1466b5b978/
- URN
urn:pkr-prod:CUT075951f3116742719c6a8e1466b5b978
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