Resumen de On Algorithms for Obtaining Orthogonal and Near-Orthogonal Arrays for Main-Effects Screening
R. Sistter, D. Bingham, M. S. Hamada, L. M. Moore, J. R. Wendelberger
Screening designs for identifying active main effects among a group of factors are frequently used by experimenters. Methods for efficiently designing experiments that estimate main effects are needed, particularly if the experiment involves categorical factors at more than two levels and requires a nonstandard run size. This article proposes a new and powerful algorithm based on a sequential element-wise–column-wise strategy that focuses on maintaining balance within and between columns. The authors compare the new algorithm with a column-wise algorithm for finding some selected orthogonal and near-orthogonal arrays. The article examines the performance of both algorithms using different criteria and provides a discussion of general strategies in searching for designs.
