Design selection for strong orthogonal arrays.

Shi, Chenlu; Tang, Boxin

Strong orthogonal arrays (SOAs) were recently introduced and studied as a class of space‐filling designs for computer experiments. An important problem that has not been addressed in the literature is that of design selection for such arrays. In this article, we conduct a systematic investigation into this problem, and we focus on the most useful SOA(n,m,4,2 )s and SOA(n,m,4,2)s. This article first addresses the problem of design selection for SOAs of strength 2 by examining their three‐dimensional projections. Both theoretical and computational results are presented. When SOAs of strength 2 do not exist, we formulate a general framework for the selection of SOAs of strength 2 by looking at their two‐dimensional projections. The approach is fruitful, as it is applicable when SOAs of strength 2 do not exist and it gives rise to them when they do. The Canadian Journal of Statistics 47: 302–314; 2019 © 2019 Statistical Society of Canada

ORTHOGONAL arrays; FINITE element method; NUMERICAL analysis; STATISTICAL sampling; MULTIPLE imputation (Statistics)

Canadian Journal of Statistics, 2019, Vol 47, Issue 2, p302

0319-5724

Academic Journal

10.1002/cjs.11494