Abstract
We show, in the context of linear regression models, how D-optimal designs can be constructed in a sequential manner in order to address the joint problem of model discrimination and parameter estimation. A specific example is used to illustrate the proposed approach. The resulting design is compared to several existing designs based on the standard relative efficiency and the so-called expected relative efficiency.
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