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Purdue University
LASSO-OPTIMAL SUPERSATURATED DESIGN AND ANALYSIS FOR FACTOR SCREENING IN SIMULATION EXPERIMENTS
Abstract
dc:description.abstractComplex systems such as large-scale computer simulation models typically involve a large number of factors. When investigating such a system, screening experiments are often used to sift through these factors to identify a subgroup of factors that most significantly influence the interested response.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Industrial Engineering
- Year
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- XING, DADI
- Contributors dc:contributor
-
- Hong Wan
- Yu Zhu
- Bruce A. Craig
- Lu Liu
Subjects
dc:subject × 6Identifiers
dc:identifier.*- Repository record dc:identifier
- https://docs.lib.purdue.edu/open_access_dissertations/1327
- OAI identifier oai:identifier
- oai:docs.lib.purdue.edu:open_access_dissertations-2543