The Heuristic Approach to the Selection of Experimental Design, Model and Valid Pre-Processing Transformation of DoE Outcome

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dc.contributor.authorPietraszek, Jacek
dc.contributor.authorGoroshko, Andrii
dc.date.accessioned2014-11-24T08:25:30Z
dc.date.available2014-11-24T08:25:30Z
dc.date.issued2014
dc.description.abstractThe typical problem in the design of experiments methodology is to avoid the risk of obtaining predictions outside of ranges with a technological or physical sense. Such a situation occurs very often if a simple linear regression or another unbounded one is involved as a predictive model. The possible solution is to provide mappings of the outcome from the range of interest into the full range from negative to plus infinity before the linear regression is applied. The intermediate values obtained from the unbounded predictive model are re-transformed into the physical domain by the inverse transformation. The key issue is to decide if the mapping is required and –subsequently – what mapping is necessary. The author proposed a simple heuristic solution supporting this decision and tested such a solution in some examples described in this paper.uk_UA
dc.identifier.citationPietraszek, J. The heuristic approach to the selection of experimental design, model and valid pre-processing transformation of DoE outcome / J. Pietraszek, A. Goroshko // Advanced Materials Research. – 2014. - Vol. 874. – P. 145-149.uk_UA
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/2189
dc.language.isoenuk_UA
dc.publisherTrans Tech Publicationsuk_UA
dc.subjectheuristic decisionuk_UA
dc.subjectdesign of experimentsuk_UA
dc.subjectexperimental designuk_UA
dc.subjectDoEuk_UA
dc.subjectfractional factorialsuk_UA
dc.subjectresponse surfaceuk_UA
dc.subjectlogistics regressionuk_UA
dc.titleThe Heuristic Approach to the Selection of Experimental Design, Model and Valid Pre-Processing Transformation of DoE Outcomeuk_UA
dc.typeСтаттяuk_UA
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