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- W2095502480 abstract "In mixture experiments, one may be interested in estimating not only main effects but also some interactions. Main effects and significant interactions in a mixture may be estimated through appropriate mixture experiments, such as simplex-centroid designs. However, for mixtures with a large number of factors, the run size for these designs becomes impractically large. A subset of a full simplex-centroid design may be used, but the problem remains regarding which factor-level settings should be selected. In this paper, we propose a solution that considers design points with either one or p individual nonzero factor-level settings. These fractional simplex designs provide a means of screening for interactions and of investigating the behavior of many-component mixtures as a whole while greatly reducing the run size compared with full simplex-centroid designs. The means of construction of the design arrays is described, and designs for < or = 31 factors are presented. Some of the proposed methodology is illustrated using generated data." @default.
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- W2095502480 date "2000-09-01" @default.
- W2095502480 modified "2023-10-12" @default.
- W2095502480 title "Fractional Simplex Designs for Interaction Screening in Complex Mixtures" @default.
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- W2095502480 doi "https://doi.org/10.1111/j.0006-341x.2000.00824.x" @default.
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