Uniformity criterion for designs with both qualitative and quantitative factors

DOI10.1080/02331888.2021.1873993zbMath1465.62138arXiv2101.02416OpenAlexW3124921286MaRDI QIDQ4987647

Feng Yang, Yong-Dao Zhou, Mei Zhang

Publication date: 3 May 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.02416

zbMATH Keywords

lower boundbalance patternmarginally coupled designqualitative-quantitative discrepancy

Mathematics Subject Classification ID

Factorial statistical designs (62K15) Response surface designs (62K20)

Cites Work

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• Constructing uniform designs: A heuristic integer programming method
• Lee discrepancy and its applications in experimental designs
• Lower bounds of the wrap-around \(L_2\)-discrepancy and relationships between MLHD and uniform design with a large size
• Construction of response surface designs for qualitative and quantitative factors
• A metamodeling methodology involving both qualitative and quantitative input factors.
• Lower bounds for centered and wrap-around \(L_2\)-discrepancies and construction of uniform designs by threshold accepting.
• Optimal mixed-level supersaturated design
• Theory and application of uniform experimental designs
• Discrete discrepancy in factorial designs
• Goodness-of-fit statistics, discrepancies and robust designs
• Construction of marginally coupled designs by subspace theory
• Mixture discrepancy for quasi-random point sets
• ON CONSTRUCTION OF MARGINALLY COUPLED DESIGNS
• Design for computer experiments with qualitative and quantitative factors
• A generalized discrepancy and quadrature error bound
• Uniform designs limit aliasing
• Small Robust Response-Surface Designs for Quantitative and Qualitative Factors
• Sliced Latin Hypercube Designs
• Maximum projection designs for computer experiments

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