Multi-level orthogonal arrays for estimating main effects and specified interactions

DOI10.1016/j.jspi.2012.10.015zbMath1278.62130OpenAlexW2000710672MaRDI QIDQ389426

Boxin Tang, Ryan Lekivetz

Publication date: 20 January 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.10.015

zbMATH Keywords

robustnesscompromise plansrequirement sets

Mathematics Subject Classification ID

Orthogonal arrays, Latin squares, Room squares (05B15) Robust parameter designs (62K25)

Related Items

Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions ⋮ On the optimality of orthogonal and balanced arrays with \(N\equiv 0\pmod 9\) runs

Uses Software

• Orthogonal Array

Cites Work

• 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
• On the geometric equivalence and non-equivalence of symmetric factorial designs
• Complete enumeration of pure-level and mixed-level orthogonal arrays
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