Partial factorial designs for multivariate calibration: extension to seven levels and comparison of strategy

Multilevel experiments are necessary in chemistry for calibration and mixture experiments. This paper presents methods for generating designs for seven concentration levels ( l=7) using l 2 experiments paying special attention to the problem of orthogonality between successive factors. In addition,...

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Bibliographic Details
Published in:Chemometrics and intelligent laboratory systems 1998-09, Vol.43 (1), p.89-105
Main Authors: Aybar Muñoz, Juan, Brereton, Richard G.
Format: Article
Language:English
Subjects:
Calibration
Chemometrics
Experimental design
Mixtures
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Summary:Multilevel experiments are necessary in chemistry for calibration and mixture experiments. This paper presents methods for generating designs for seven concentration levels ( l=7) using l 2 experiments paying special attention to the problem of orthogonality between successive factors. In addition, a method to extend all l level designs to orthogonal arrays with double the number of mutually orthogonal factors is shown. Some comparisons are made between different designs using leverage. Finally, recommendations are made in order to select the most appropriate design for each specific situation.
ISSN:0169-7439
1873-3239
DOI:10.1016/S0169-7439(98)00083-5