Generalized minimum aberration mixed-level orthogonal arrays: A general approach based on sequential integer quadratically constrained quadratic programming

DOI10.1080/03610926.2015.1081947zbMath1368.62229arXiv1501.03284OpenAlexW2294082210MaRDI QIDQ4975134

Roberto Fontana

Publication date: 3 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1501.03284

zbMATH Keywords

design of experimentscounting functiongeneralized wordlength patterngeneralized minimum aberration criterioninteger quadratically constrained quadratic programming

Mathematics Subject Classification ID

Factorial statistical designs (62K15)

Related Items (1)

An algorithm for generating good mixed level factorial designs

Uses Software

• SAS

Cites Work

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• Classification of two-level factorial fractions
• Algebraic generation of minimum size orthogonal fractional factorial designs: an approach based on integer linear programming
• Indicator function and complex coding for mixed fractional factorial designs
• A modern theory of factorial designs.
• Design of Comparative Experiments
• Complete enumeration of pure-level and mixed-level orthogonal arrays
• Generalised confounding with Grobner bases

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