General Blending Models for Data From Mixture Experiments

L Brown, A. N. Donev, A. Bissett

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    We propose a new class of models providing a powerful unification and extension of existing statistical methodology for analysis of data obtained in mixture experiments. These models, which integrate models proposed by Scheffé (1958, 1963) and Becker (1968, 1978), extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomena requires it, but remain simple whenever possible. This paper has supplementary material online.
    Original languageEnglish
    Pages (from-to)449-456
    Number of pages7
    JournalTechnometrics: a journal of statistics for the physical, chemical and engineering sciences
    Issue number4
    Publication statusPublished - 1 Nov 2015


    • Becker’s models, Scheffé polynomials, model selection, nonlinear models


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