Model identification using 27 runs three level orthogonal arrays

DOI10.1080/02664760802382509zbMath1473.62267OpenAlexW1997386279MaRDI QIDQ3183863

P. Angelopoulos, Haralambos Evangelaras, Christos Koukouvinos

Publication date: 21 October 2009

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760802382509

zbMATH Keywords

quantitative factorsorthogonal arraysgeometric isomorphismhidden projection properties

Mathematics Subject Classification ID

Factorial statistical designs (62K15)

Related Items (2)

On the optimality of orthogonal and balanced arrays with \(N\equiv 0\pmod 9\) runs ⋮ New recommended designs for screening either qualitative or quantitative factors

Cites Work

• Unnamed Item
• 18-run nonisomorphic three level orthogonal arrays
• Projection properties of certain three level orthogonal arrays
• Classification of affine resolvable \(2\)-\((27,9,4)\) designs
• Geometric isomorphism and minimum aberration for factorial designs with quantitative factors
• Design and Analysis of Experiments
• Projective three-level main effects designs robust to model uncertainty

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