Free Access
Issue |
Analusis
Volume 26, Number 8, October 1998
Chemometrics 98
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Page(s) | 284 - 290 | |
Section | Original articles | |
DOI | https://doi.org/10.1051/analusis:1998174 |
Analusis 26, 284-290 (1998)
DOI: 10.1051/analusis:1998174
Rhône-Poulenc S.A., Centre de Recherches d'Aubervilliers, 52 rue de la Haie Coq, 93308 Aubervilliers Cedex, France
Key words: Optimal design / multilinear regresssion / sequentiality / experimental research methodology.
© EDP Sciences, Wiley-VCH 1998
DOI: 10.1051/analusis:1998174
Sequential and optimal experimental design. An example of application to the synthesis of metal alloys
J.-P. GauchiRhône-Poulenc S.A., Centre de Recherches d'Aubervilliers, 52 rue de la Haie Coq, 93308 Aubervilliers Cedex, France
Abstract
In this article we shall define and illustrate how to further optimize experimental design methodology through a real example from the field of chemistry. This depends on two principles: the first
principle is to provide the experimenter with several optimal experimental designs (based on mathematically defined criteria), rather than the traditional single design. In this way several
objectives can be simultaneously reconciled. The second principle, underlying the data analysis stage, is the correct use of statistical tests (in regression as well as variance analysis),
particularly to check on their validity after using them. This is the methodology we shall briefly attempt to illustrate here.
Key words: Optimal design / multilinear regresssion / sequentiality / experimental research methodology.
© EDP Sciences, Wiley-VCH 1998