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Which runs to skip in two-level factorial designs when not all can be performed

Author
Xampeny, R.; Grima, P.; Tort-Martorell, J.
Type of activity
Journal article
Journal
Quality engineering
Date of publication
2018-04-03
Volume
30
Number
4
First page
594
Last page
609
DOI
https://doi.org/10.1080/08982112.2018.1428751 Open in new window
Repository
http://hdl.handle.net/2117/130379 Open in new window
URL
https://www.tandfonline.com/doi/abs/10.1080/08982112.2018.1428751?journalCode=lqen20 Open in new window
Abstract
When a two-level factorial design allows estimating contrasts that can be considered negligible from scratch, it is possible to omit some runs and later estimate their values by equating to zero the expressions of some of that contrasts. This article presents the combinations of runs to be omitted in 8 and 16 runs two-level factorial designs so that the responses can be estimated in such a way as to produce the least possible impact on the desired properties of the estimated contrasts: low and e...
Citation
Xampeny, R.; Grima, P.; Tort-Martorell, J. Which runs to skip in two-level factorial designs when not all can be performed. "Quality engineering", 3 Abril 2018, vol. 30, núm. 4, p. 594-609.
Keywords
effects' correlation, effects' variance, factorial designs, missing values, negligible interactions, saving runs
Group of research
ADBD - Analysis of Complex Data for Business Decisions

Participants