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An isomorphism check for two-level fractional factorial designs
Authors:C Devon Lin  RR Sitter
Institution:Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6
Abstract:Two fractional factorial designs are isomorphic if one can be obtained from the other by reordering the treatment combinations, relabelling the factor levels and relabelling the factors. By defining a word-pattern matrix, we are able to create a new isomorphism check which is much faster than existing checks for certain situations. We combine this with a new, extremely fast, sufficient condition for non-isomorphism to avoid checking certain cases. We then create a faster search algorithm by combining the Bingham and Sitter 1999. Minimum aberration fractional factorial split-plot designs. Technometrics 41, 62–70] search algorithm, the isomorphism check algorithm of Clark and Dean 2001. Equivalence of fractional factorial designs. Statist. Sinica 11, 537–547] with our proposed isomorphism check. The algorithm is used to extend the known set of existing non-isomorphic 128-run two-level regular designs with resolution ?4?4 to situations with 12, 13, 14, 15 and 16 factors, 256- and 512-run designs with resolution ?5?5 and ?17?17 factors and 1024-run even designs with resolution ?6?6 and ?18?18 factors.
Keywords:Design equivalence  Eigenvalue  Eigenvector  Hamming distance
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