A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS
From MaRDI portal
Publication:5066775
DOI10.5705/ss.202020.0223OpenAlexW3090257699MaRDI QIDQ5066775
Publication date: 30 March 2022
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5705/ss.202020.0223
orthogonal arraygeneralized minimum aberrationregular designlevel permutationWilliams transformationgeometric isomorphism
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Quarter-fraction factorial designs constructed via quaternary codes
- Recent developments in nonregular fractional factorial designs
- Minimum \(G_2\)-aberration for nonregular fractional factorial designs
- Geometric isomorphism and minimum aberration for factorial designs with quantitative factors
- Generalized minimum aberration for asymmetrical fractional factorial designs.
- Optimal maximin \(L_{1}\)-distance Latin hypercube designs based on good lattice point designs
- An effective algorithm for generation of factorial designs with generalized minimum aberration
- A modern theory of factorial designs.
- Optimal and orthogonal Latin hypercube designs for computer experiments
- Permuting regular fractional factorial designs for screening quantitative factors
- Minimum Contamination and β-Aberration Criteria for Screening Quantitative Factors
- Construction of orthogonal symmetric Latin hypercube designs
- Maximum projection designs for computer experiments
- A construction method for orthogonal Latin hypercube designs
- THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS
This page was built for publication: A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS