New foundations for designing U-optimal follow-up experiments with flexible levels
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Publication:2306895
DOI10.1007/s00362-017-0963-zzbMath1435.62296OpenAlexW2768391239MaRDI QIDQ2306895
Publication date: 27 March 2020
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-017-0963-z
indicator functionfollow-up experimentequivalent designsequential experimentfollow-up mapoptimal sequential experiment
Optimal statistical designs (62K05) Factorial statistical designs (62K15) Sequential statistical design (62L05)
Related Items (4)
A catalog of optimal foldover plans for constructing U-uniform minimum aberration four-level combined designs ⋮ A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs ⋮ Lower bounds of the average mixture discrepancy for row augmented designs with mixed four- and five-level ⋮ Sharp lower bounds of various uniformity criteria for constructing uniform designs
Cites Work
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- A note on lower bound of centered \(L_{2}\)-discrepancy on combined designs
- Constructing optimal asymmetric combined designs via Lee discrepancy
- A new strategy for optimal foldover two-level designs
- Optimal foldover plans for regular \(s\)-level fractional factorial designs
- Lower bounds of the wrap-around \(L_2\)-discrepancy and relationships between MLHD and uniform design with a large size
- A note on optimal foldover design.
- Optimal foldover plans of asymmetric factorials with minimum wrap-around \(L_2\)-discrepancy
- Batch sequential designs for computer experiments
- Construction of uniform designs via an adjusted threshold accepting algorithm
- Lower bounds for wrap-around \(L_2\)-discrepancy and constructions of symmetrical uniform designs
- An efficient methodology for constructing optimal foldover designs in terms of mixture discrepancy
- A new look on optimal foldover plans in terms of uniformity criteria
- A generalized discrepancy and quadrature error bound
- Using the Folded-Over 12-Run Plackett—Burman Design to Consider Interactions
- Sequential Design for Microarray Experiments
- A closer look at de-aliasing effects using an efficient foldover technique
- A powerful and efficient algorithm for breaking the links between aliased effects in asymmetric designs
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