Date & Time: 21st Jan 2010, 16:20-17:00

Venue: Ramanujan Hall

Title: Blocked Experimental Designs for a Non-Normal Response

Speaker: Dave Woods, University of Southampton, UK

Abstract: We discuss methods of obtaining efficient block designs for experiments with an exponential family response fitted via Generalized Estimating Equations (GEEs). This design and modeling strategy is appropriate when the blocks are nuisance variables as, for example, may occur in industrial experiments. GEE models extend Generalized Linear Models to incorporate a dependence structure between experimental units in the same block. Three strategies are investigated for finding exact designs robust to the values of the marginal model parameters. Designs found by these strategies are critically compared and assessed. The design strategies are motivated and illustrated throughout by an experiment from the aeronautics industry.