Selecting significant effects in factorial designs: Lenth's method versus using negligible interactions
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...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/130367 |
| Acceso en línea: | https://hdl.handle.net/2117/130367 https://dx.doi.org/10.1080/03610918.2017.1311917 |
| Access Level: | acceso abierto |
| Palabra clave: | Mathematical statistics Statistics--Methodology Sampling (Statistics) Effects significance factorial design Lenth's method negligible interactions statistical software Estadística matemàtica Estadística -- Metodologia Mostreig (Estadística) Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Sumario: | 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 |
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