Composite Designs Based on Orthogonal Arrays and Definitive Screening Designs

Yong-Dao Zhou and Hongquan Xu

Journal of the American Statistical Association, 2017, vol. 112, issue 520, 1675-1683

Abstract: Central composite designs are widely used in practice for factor screening and building response surface models. We study two classes of new composite designs. The first class consists of a two-level factorial design and a three-level orthogonal array; the second consists of a two-level factorial and a three-level definitive screening design. We derive bounds of their efficiencies for estimating all and part of the parameters in a second-order model and obtain some general theoretical results. New composite designs are constructed. They are more efficient than central composite designs and other existing designs. Supplementary materials are available online.

Date: 2017
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DOI: 10.1080/01621459.2016.1228535

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