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Treating bias as variance for experimental design purposes
Authors:Norman R Draper  Irwin Guttman
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
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.
Keywords:Bias error  experimental design  response surface  variance error
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