Lee discrepancy and its applications in experimental designs
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Publication:947204
DOI10.1016/j.spl.2008.01.062zbMath1147.62065OpenAlexW2076233842MaRDI QIDQ947204
Jian-Hui Ning, Yong-Dao Zhou, Xie-Bing Song
Publication date: 29 September 2008
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2008.01.062
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Majorization framework for balanced lattice designs
- Optimal mixed-level supersaturated design
- Generalized minimum aberration for asymmetrical fractional factorial designs.
- Uniform supersaturated design and its construction
- Lower bounds for wrap-around \(L_2\)-discrepancy and constructions of symmetrical uniform designs
- Miscellanea. A connection between uniformity and aberration in regular fractions of two-level factorials
- Introduction to Coding Theory
- Inequalities: theory of majorization and its applications
- A note on generalized aberration in factorial designs
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