2026-04-14T03:05:58Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/1269502026-01-21T07:52:14Zcom_2072_1033col_2072_452950
RECERCAT
author
Xampeny Solaní, Rafael
author
Grima Cintas, Pedro
author
Tort-Martorell Llabrés, Xavier
2019-06-02
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.Peer ReviewedPostprint (author's final draft)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
Mathematical statistics
Box-Meyer method
Factorial designfour-run experiments
Lenth method
significant effects
Estadística matemàtica
Estadística -- Metodologia
Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach
Article