Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Roberto Fontana, Sabrina Sampò
Title: Minimum-Size Mixed-Level Orthogonal Fractional Factorial Designs Generation: A SAS-Based Algorithm
Abstract: Orthogonal fractional factorial designs (OFFDs) are frequently used in many fields 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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Paper: Minimum-Size Mixed-Level Orthogonal Fractional Factorial Designs Generation: A SAS-Based Algorithm     Download PDF (Downloads: 3150)
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v53i10.sas: SAS source code Download (Downloads: 414; 11KB)
DOI: 10.18637/jss.v053.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.