Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1181225 | Chemometrics and Intelligent Laboratory Systems | 2009 | 8 Pages |
Abstract
The use of experimental designs in the field of numerical simulation improves global sensitivity analysis compared to Monte Carlo based method by decreasing the number of simulations. More particularly, supersaturated designs can be applied to decrease the number of calculations, because the number of simulations is inferior to the number of studied factors but its use is risky and depends on “parsimony principle”. This paper shows new supersaturated designs that use the a priori knowledge and thus overcome this difficulty.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
M. Claeys-Bruno, M. Dobrijevic, R. Phan-Tan-Luu, M. Sergent,