Orthogonal fractional factorial designs (OFFDs) are frequently used in many elds of application, including medicine, engineering and agriculture. In this paper we present a software tool for the generation of minimum size OFFDs. The software, that has been implemented in SAS/IML, puts neither a restriction on the number of levels of each factor nor on the orthogonality constraints. The algorithm is based on the joint use of polynomial counting function and complex coding of levels and follows the approach presented in Fontana (2013).

Minimum-Size Mixed-Level Orthogonal Fractional Factorial Designs Generation: A SAS-Based Algorithm / Fontana, Roberto; Sampò, S.. - In: JOURNAL OF STATISTICAL SOFTWARE. - ISSN 1548-7660. - 53:10(2013), pp. 1-18. [10.18637/jss.v053.i10]

Minimum-Size Mixed-Level Orthogonal Fractional Factorial Designs Generation: A SAS-Based Algorithm

FONTANA, ROBERTO;
2013

Abstract

Orthogonal fractional factorial designs (OFFDs) are frequently used in many elds of application, including medicine, engineering and agriculture. In this paper we present a software tool for the generation of minimum size OFFDs. The software, that has been implemented in SAS/IML, puts neither a restriction on the number of levels of each factor nor on the orthogonality constraints. The algorithm is based on the joint use of polynomial counting function and complex coding of levels and follows the approach presented in Fontana (2013).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2507600
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