Quadrupling: construction of uniform designs with large run sizes
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Publication:2189748
DOI10.1007/S00184-019-00741-6zbMath1442.62178OpenAlexW2970502786WikidataQ127314815 ScholiaQ127314815MaRDI QIDQ2189748
Publication date: 16 June 2020
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-019-00741-6
lower bounduniform designgeneralized minimum aberrationwrap-around \(L_2\)-discrepancyfoldoverlevel permutationquadruple design
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistical block designs (62K10) Factorial statistical designs (62K15)
Related Items (4)
An appealing technique for designing optimal large experiments with three-level factors ⋮ Multiple doubling: a simple effective construction technique for optimal two-level experimental designs ⋮ A systematic construction approach for nonregular fractional factorial four-level designs via quaternary linear codes ⋮ Designing optimal large four-level experiments: a new technique without recourse to optimization softwares
Cites Work
- An effective construction method for multi-level uniform designs
- Uniform fractional factorial designs
- Uniformity in double designs
- Some applications of indicator function in two-level factorial designs
- Geometric isomorphism and minimum aberration for factorial designs with quantitative factors
- Generalized minimum aberration for asymmetrical fractional factorial designs.
- Level permutation method for constructing uniform designs under the wrap-around \(L_2\)-discrepancy
- Tripling of fractional factorial designs
- A complementary design theory for doubling
- Doubling and projection: A method of constructing two-level designs of resolution IV
- Permuting regular fractional factorial designs for screening quantitative factors
- Analytic connections between a double design and its original design in terms of different optimality criteria
- A note on generalized aberration in factorial designs
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