Запис Детальніше


Поле	Співвідношення

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

Names	Pietraszek, Jacek Goroshko, Andrii
Date Issued	2014 (iso8601)
Abstract	The 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.
Genre	Стаття
Topic	heuristic decision
Identifier	Pietraszek, 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.