Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
dc.contributor.author	Xampeny Solani, Rafael
dc.contributor.author	Grima Cintas, Pedro
dc.contributor.author	Tort Martorell, X.
dc.date	2018-01-01
dc.identifier.citation	Xampeny, R., Grima, P., Tort, X. Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach. "Journal of applied statistics", 1 Gener 2018, vol. 46, núm.8, p.1404-1416
dc.identifier.citation	0266-4763
dc.identifier.citation	10.1080/02664763.2018.1548584
dc.identifier.uri	http://hdl.handle.net/2117/126950
dc.language.iso	eng
dc.publisher	Taylor & Francis
dc.relation	https://www.tandfonline.com/doi/abs/10.1080/02664763.2018.1548584?journalCode=cjas20
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject	Mathematical statistics
dc.subject	Box-Meyer method
dc.subject	Factorial designfour-run experiments
dc.subject	Lenth method
dc.subject	significant effects
dc.subject	Estadística matemàtica
dc.subject	Estadística -- Metodologia
dc.title	Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The Lenth method is conceptually simple and probably the most common approach to analyzing the significance of the effects in factorial designs. Here, we compare it with a Bayesian approach proposed by Box and Meyer and which does not appear in the usual software packages. The comparison is made by simulating the results of 4, 8 and 16 run designs in a set of scenarios that mirror practical situations and analyzing the results provided by both methods. Although the results depend on the number of runs and the scenario considered, the use of the Box and Meyer method generally produces better results. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
dc.description.abstract	Peer Reviewed

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