Examining robustness of model selection with half-normal and LASSO plots for unreplicated factorial designs
- Pukyong National Univ., Busan (South Korea)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
When there are constraints on resources, an unreplicated factorial or fractional factorial design can allow efficient exploration of numerous factor and interaction effects. A half-normal plot is a common graphical tool used to compare the relative magnitude of effects and to identify important effects from these experiments when no estimate of error from the experiment is available. An alternative is to use a least absolute shrinkage and selection operation plot to examine the pattern of model selection terms from an experiment. We examine how both the half-normal and least absolute shrinkage and selection operation plots are impacted by the absence of individual observations or an outlier, and the robustness of conclusions obtained from these 2 techniques for identifying important effects from factorial experiments. As a result, the methods are illustrated with 2 examples from the literature.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOD; USDOE
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1375170
- Report Number(s):
- LA-UR-16-29402
- Journal Information:
- Quality and Reliability Engineering International, Vol. 33, Issue 8; ISSN 0748-8017
- Publisher:
- WileyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
SAS Macros for Analysis of Unreplicated and Designs with a Possible Outlier
|
journal | January 2008 |
Finding Bad Values in Factorial Designs—Revisited
|
journal | June 2006 |
21st century screening experiments: What, why, and how
|
journal | January 2016 |
George'S Column
|
journal | January 1990 |
Similar Records
Assessing robustness of factor ranking for supersaturated designs
Advanced Envelope Research for Factory Built Housing, Phase 3 -- Whole-House Prototyping