Abstract
Abstract We show that every discrete symmetric probability measure on [-1,1] with finite support can be characterized as a model robust D-optimal design (in the sense of Lauter (1974)) in polynomial regression. As special cases the discrete uniform and some model robust designs given in the literature are identified as optimal designs for a class of polynomial regression models.
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