Loading...
Loading...

Go to the content (press return)

Selecting significant effects in factorial designs: Lenth's method versus using negligible interactions

Author
Xampeny, R.; Grima, P.; Tort-Martorell, J.
Type of activity
Journal article
Journal
Communications in statistics. Simulation and computation
Date of publication
2018-01-01
Volume
47
Number
5
First page
1343
Last page
1352
DOI
https://doi.org/10.1080/03610918.2017.1311917 Open in new window
Repository
http://hdl.handle.net/2117/130367 Open in new window
URL
https://www.tandfonline.com/doi/abs/10.1080/03610918.2017.1311917 Open in new window
Abstract
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 provi...
Citation
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.
Keywords
Effects significance, Lenth's method, factorial design, negligible interactions, statistical software
Group of research
ADBD - Analysis of Complex Data for Business Decisions

Participants

Attachments