期刊
JOURNAL OF QUALITY TECHNOLOGY
卷 47, 期 1, 页码 66-82出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/00224065.2015.11918107
关键词
Bayesian D-Optimal; Dantzig Selector; E(s(2)); Forward Selection; Model Robust
资金
- Simons Foundation [244759]
An important property of any experimental design is its power, defined roughly as its ability to detect active factors. For supersaturated designs, power is even more critical. We consider several popular supersaturated design construction criteria in the literature, propose several of our own, and perform a simulation study to evaluate them in terms of power. We use two analysis methods-forward selection and the Dantzig selector-and find that, although the Dantzig selector clearly outperforms forward selection, there is no clear winner among the design construction criteria.
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