A1243
Title: An overview of the $Q\_B$-optimality criterion
Authors: Steven Gilmour - KCL (United Kingdom) [presenting]
Abstract: The $Q\_B$ criterion provides a link between the optimal and classical designs of experiments. It was developed from an approximation to an optimal design approach, averaged over many models, but several classical criteria, especially generalizations on minimum aberration, can be shown to be special cases of $Q\_B$-optimality. Searching for a $Q\_B$-optimal design has many advantages over some more recent classical-type approaches but is not yet widely used. The purpose is to show how simple and effective it is to use $Q\_B$ in practice, and some recently produced software for finding $Q\_B$-optimal designs will be described.
