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Optimal designs for 2^k experiments with binary response

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Design and Analysis of Experiments

We consider optimal designs for an experiment with k qualitative factors at 2 levels each with binary response. For local D-optimality we derive theoretical results, propose algorithms to search for optimal designs and study properties of the algorithms. The robustness of optimal designs to specification of assumed parameter values is studied. We also briefly examine Bayesian optimal designs.

This talk is part of the Isaac Newton Institute Seminar Series series.

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