Abstract:
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Orthogonal arrays have proven to be useful in various areas of design of experiments, especially for selecting designs with desirable properties in a number of different settings. In the context of determining efficient designs for certain generalized linear models, we discuss a problem in which the use of orthogonal arrays facilitates the selection of optimal designs with a relatively small number of support points.
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