Model identification using 27 runs three level orthogonal arrays

P. Angelopoulos, H. Evangelaras and C. Koukouvinos

Journal of Applied Statistics, 2009, vol. 36, issue 1, 33-38

Abstract: In this paper we examine all the combinatorial non-isomorphic OA(27, q, 3, t), with 3≤q≤13 three level quantitative factors, with respect to model identification, estimation capacity and efficiency. We use the popular D-efficiency criterion to evaluate the ability of each design considered in estimating the parameters of a second-order model with adequate efficiency. The prior selection of the 'middle' level of factors plays an important role in the results.

Keywords: orthogonal arrays; quantitative factors; geometric isomorphism; hidden projection properties (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/02664760802382509

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