Searching for Optimal Orthogonal Arrays for Estimating Main Effects and Some Specified Two-factor Interactions
We consider the problem of finding optimal orthogonal arrays for estimating main effects and some specified two-factor interactions. Based on theoretical results from Tang and Zhou (2008), we develop a computational algorithm for this purpose. The D-efficiency and bias are considered as the criteria for design optimality. The performance of the algorithm is evaluated by comparing the results obtained by the algorithm with those from complete search. Finally, we present a useful collection of optimal orthogonal arrays with small run sizes.
This type of interdisciplinary work is a hallmark of our program in Applied Statistics at Simon Fraser University. For more information, please contact Donghong Wu (firstname.lastname@example.org) or her supervisor Boxin Tang (email@example.com), Department of Statistics and Actuarial Science.