Which runs to skip in two-level factorial designs when not all can be performed

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Título:	Which runs to skip in two-level factorial designs when not all can be performed
Autor/a:	Xampeny Solani, Rafael; Grima Cintas, Pedro; Tort-Martorell Llabrés, Xavier
Otros autores:	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
Abstract:	When a two-level factorial design allows estimating contrasts that can be considered negligible from scratch, it is possible to omit some runs and later estimate their values by equating to zero the expressions of some of that contrasts. This article presents the combinations of runs to be omitted in 8 and 16 runs two-level factorial designs so that the responses can be estimated in such a way as to produce the least possible impact on the desired properties of the estimated contrasts: low and equal variance and the smallest possible correlation among them.
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica -Mathematical statistics -effects' correlation -effects' variance -factorial designs -missing values -negligible interactions -saving runs -Estadística matemàtica -Dades no observades (Estadística)
Derechos:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Artículo - Versión presentada Artículo
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