Speaker
Steven Gilmour
(King's College London)
Description
Two-level designs are widely used for screening experiments where the goal is to identify a few active factors which have major effects. We apply the model-robust Q_B criterion for the selection of optimal two-level designs without the usual requirements of level balance and pairwise orthogonality. We provide a coordinate exchange algorithm for the construction of Q_B-optimal designs for the first-order maximal model and second-order maximal model and demonstrate that different designs will be recommended under different prior beliefs. Additionally, we study the relationship between this new criterion and the aberration-type criteria. Some new classes of model-robust designs which respect experimenters' prior beliefs are found.
| Type of presentation | Talk |
|---|---|
| Classification | Mainly methodology |
| Keywords | factorial design; optimal design; model selection |
Primary author
Steven Gilmour
(King's College London)
Co-author
Dr
Pi-Wen Tsai
(National Taiwan Normal University)