2026-04-19T22:44:06Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/1303672026-01-30T08:19:55Zcom_2072_1033col_2072_452950
Selecting significant effects in factorial designs: Lenth's method versus using negligible interactions
Xampeny Solaní, Rafael
Grima Cintas, Pedro
Tort-Martorell Llabrés, Xavier
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
Mathematical statistics
Statistics--Methodology
Sampling (Statistics)
Effects significance
factorial design
Lenth's method
negligible interactions
statistical software
Estadística matemàtica
Estadística -- Metodologia
Mostreig (Estadística)
Among the many analytical techniques that have been published to analyze the significance of the effects in the absence of replications, two have emerged as the most widely used in text books as well as statistical software packages: The Lenth's method and the estimation of the variance of the effects from the values of those considered negligible. This article shows that neither is better than the other in all cases, and by analyzing the results obtained in a wide variety of situations it provides guidelines on when it is preferable to use one or the other technique
Peer Reviewed
Postprint (author's final draft)
2018-01-01
Article
Xampeny, R.; Grima, P.; Tort-Martorell, J. Selecting significant effects in factorial designs: Lenth's method versus using negligible interactions. "Communications in statistics. Simulation and computation", 1 Gener 2018, vol. 47, núm. 5, p. 1343-1352.
0361-0918
https://hdl.handle.net/2117/130367
10.1080/03610918.2017.1311917
eng
https://www.tandfonline.com/doi/abs/10.1080/03610918.2017.1311917
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Open Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
10 p.
application/pdf