Exchange Algorithms for Constructing Model-Robust Experimental Designs
نویسندگان
چکیده
S INCE Kiefer (1959) debuted the idea of optimal design of experiments, a vast literature has grown up around the notion of choosing a design based on some numerical criterion. The most common is D-optimality, which chooses the design minimizing the generalized variance of the regression parameter estimates. Though standard designs can be used in most design situations, optimal procedures are useful when, for instance, there are constraints on the design space or some factors are categorical. However, optimal design procedures have been criticized (Box and Draper (1959)) because they require complete knowledge of the form of the regression
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