Back to Search Start Over

Comparative study of mixture designs for complex phenomena

Authors :
C. Bruno
Michelle Sergent
C. Gomes
Magalie Claeys-Bruno
Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE)
Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU)
L'Oréal Recherche France (L'Oréal Recherche)
L'OREAL
École polytechnique universitaire de Lille (Polytech Lille)
Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS)
Source :
Chemometrics and Intelligent Laboratory Systems, Chemometrics and Intelligent Laboratory Systems, Elsevier, 2018, 178, pp.65-72. ⟨10.1016/j.chemolab.2018.05.004⟩, Chemometrics and Intelligent Laboratory Systems, 2018, 178, pp.65-72. ⟨10.1016/j.chemolab.2018.05.004⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

In the field of formulation, the behaviour of phenomena studied are often complex, including non-linear or chaotic zones which make classical strategies based on polynomial models inappropriate. In these situations, uniform experimental designs and kriging models are recommended. Nonetheless, when researchers have to set up an experimental strategy, they must choice the class of designs to be constructed, the number of experiments to be performed and the modeling kriging parameters to be used. To help with these choices, we propose a catalogue combining various uniform designs characterized by several intrinsic quality criteria and to establish decision-making rules linking these criteria to the quality of the information obtained from the design.

Details

Language :
English
ISSN :
01697439
Database :
OpenAIRE
Journal :
Chemometrics and Intelligent Laboratory Systems, Chemometrics and Intelligent Laboratory Systems, Elsevier, 2018, 178, pp.65-72. ⟨10.1016/j.chemolab.2018.05.004⟩, Chemometrics and Intelligent Laboratory Systems, 2018, 178, pp.65-72. ⟨10.1016/j.chemolab.2018.05.004⟩
Accession number :
edsair.doi.dedup.....25e41d9a11091ca13b39512aece6d5cd
Full Text :
https://doi.org/10.1016/j.chemolab.2018.05.004⟩