A UNIFIED FRAMEWORK FOR MINIMUM ABERRATION
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Publication:5037826
DOI10.5705/ss.202019.0416OpenAlexW3175496817MaRDI QIDQ5037826
Publication date: 4 March 2022
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5705/ss.202019.0416
multigroupblockingBayesianmixed-levelfractional factorialsplit-plotstrip-plotmulti-platformmulti-stratum
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Cites Work
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- Optimal blocked orthogonal arrays
- Generalized minimum aberration two-level split-plot designs
- Effective designs based on individual word length patterns
- Existence and construction of randomization defining contrast subspaces for regular factorial designs
- Factorial design and Abelian groups
- On the theory of connected designs: Characterization and optimality
- Structure function for aliasing patterns in \(2^{l-n}\) design with multiple groups of factors
- Theory of optimal blocking of \(2^{n-m}\) designs
- Generalized minimum aberration for asymmetrical fractional factorial designs.
- A general theory of minimum aberration and its applications
- A Bayesian approach to the selection of two-level multi-stratum factorial designs
- Multistratum fractional factorial designs
- Designing Fractional Factorial Split-Plot Experiments with Few Whole-Plot Factors
- Design of Comparative Experiments
- A Calculus for Factorial Arrangements
- Minimum Aberration 2 k-p Designs
- Fractional Resolution and Minimum Aberration in Blocked 2 n-k Designs
- Minimum-Aberration Two-Level Split-Plot Designs
- Optimal split‐plot orthogonal arrays
- Screening
- The analysis of randomized experiments with orthogonal block structure. I. Block structure and the null analysis of variance
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