Model-robust design are generated using a combination of algorithms based on several optimality criteria. The content of the candidate list and the sequencing of the point-selection algorithms has a major impact on overall design quality. When properly constructed, model-robust designs enable nonlinear variable effects to be visualized and estimated due to the sampling of the interior of the design space accomplished by these designs.
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