Journal
BIOMETRIKA
Volume 87, Issue 2, Pages 467-475Publisher
BIOMETRIKA TRUST
DOI: 10.1093/biomet/87.2.467
Keywords
fractional factorial design; response surface methodology; screening experiment; Taguchi methods
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This paper is concerned with designing experiments under the assumption that an analysis strategy is used that considers interactions in addition to main effects. A criterion which averages an approximation to A(s)-efficiency over lower-dimensional projections of the design is introduced to compare designs. A columnwise design procedure is used to construct three-level designs for six factors in 18 runs. The projection effciencies of these designs are explored and compared with designs obtained from the L-18 orthogonal array. Results are also given for designs with 14 and 17 runs.
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