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Issue 12, 1997
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Multilevel Multifactor Designs for MultivariateCalibration

Abstract

Multilevel experiments are common in chemistry, especially in calibration and mixture problems. This paper presents designs for l = 2–5 different concentration levels and l2 corresponding experiments. The importance of orthogonality between successive factors is discussed. It is shown that up to 12 mutually orthogonal factors can be generated for a five-level design. Methods of generating designs are generalised. The designs are restricted to first-order (linear) models, typical of most instrumental calibration experiments.

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Article type: Paper
DOI: 10.1039/A703654J
Citation: Analyst, 1997,122, 1521-1529
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    Multilevel Multifactor Designs for MultivariateCalibration

    R. G. Brereton, Analyst, 1997, 122, 1521
    DOI: 10.1039/A703654J

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