Date of Award
January 2015
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Industrial Engineering
First Advisor
Hong Wan
Second Advisor
Yu Zhu
Committee Member 1
Bruce A. Craig
Committee Member 2
Lu Liu
Abstract
Complex 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.
Recommended Citation
XING, DADI, "LASSO-OPTIMAL SUPERSATURATED DESIGN AND ANALYSIS FOR FACTOR SCREENING IN SIMULATION EXPERIMENTS" (2015). Open Access Dissertations. 1327.
https://docs.lib.purdue.edu/open_access_dissertations/1327
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