A new look on optimal foldover plans in terms of uniformity criteria
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Publication:2979943
DOI10.1080/03610926.2015.1024862zbMath1360.62414OpenAlexW2325676865MaRDI QIDQ2979943
Publication date: 27 April 2017
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2015.1024862
lower bounddiscrepancycombined designfoldover planfoldover designuniformity criterioncomplementary foldover plan
Related Items (15)
Optimum mechanism for breaking the confounding effects of mixed-level designs ⋮ A note on optimal foldover four-level factorials ⋮ A catalog of optimal foldover plans for constructing U-uniform minimum aberration four-level combined designs ⋮ Constructing optimal asymmetric combined designs via Lee discrepancy ⋮ An efficient methodology for constructing optimal foldover designs in terms of mixture discrepancy ⋮ Choice of optimal second stage designs in two-stage experiments ⋮ An effective approach for the optimum addition of runs to three-level uniform designs ⋮ Constructing optimal router bit life sequential experimental designs: New results with a case study ⋮ A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs ⋮ Sequentially weighted uniform designs ⋮ Designing uniform computer sequential experiments with mixture levels using Lee discrepancy ⋮ A novel low complexity fast algorithm for effectively designing optimal mixed-level experiments ⋮ A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs ⋮ New foundations for designing U-optimal follow-up experiments with flexible levels ⋮ A novel non-heuristic search technique for constructing uniform designs with a mixture of two- and four-level factors: a simple industrial applicable approach
Cites Work
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- Optimal foldover plans for blocked \(2^{m-k}\) fractional factorial designs
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- A Lower Bound for the Wrap-around L2-discrepancy on Combined Designs of Mixed Two- and Three-level Factorials
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