Treating bias as variance for experimental design purposes |
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Authors: | Norman R Draper Irwin Guttman |
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Institution: | (1) Statistics Department, University of Wisconsin, 1210 West Dayton Street, 53706 Madison, WI, U.S.A.;(2) Statistics Department, University of Toronto, M5S 1A1 Toronto, Ontario, Canada |
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Abstract: | When an empirical model is fitted to data, bias can arise from terms that have not been incorporated, and this can have an important effect on the choice of an experimental design. Here, the biases are treated as random, and the consequences of this action are explored for the fitting of models of first and second order. |
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Keywords: | Bias error experimental design response surface variance error |
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