Locally Optimal Designs for Nonlinear Models

Abstract

Locally Optimal Designs for Nonlinear Models John Stufken Department of Statistics, University of Georgia, Georgia, USA ?: Identifying optimal designs for nonlinear models is a challenging problem for a variety of reasons. While the problem has received considerable attention over the last decades, a new approach has facilitated significant progress during the last three years in the context of local optimality. Although locally optimal designs are not always the preferred choice for applications, they are useful as a benchmark for other designs. In this talk we will cover some of the challenges related to identifying optimal designs for nonlinear models, discuss the new approach for identifying locally optimal designs that is based on finding small complete classes of designs, and illustrate the power of the approach through examples.