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Title
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Selecting an orthogonal or non-orthogonal two-level design for screening
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Author
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Abstract
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| This article presents a comparison of criteria used to characterize two-level designs for screening purposes. To articulate the relationships among criteria, we focus on 7-factor designs with 1632 runs and 11-factor designs with 2048 runs. Screening based on selected designs for each of the run sizes considered is studied with simulation using a forward selection procedure and the Dantzig selector. This article compares Bayesian D-optimal designs, designs created algorithmically to optimize estimation capacity over various model spaces, and orthogonal designs by estimation-based criteria and simulation. In this way, we furnish both general insights regarding various design approaches, as well as a guide to make a choice among a few final candidate designs. Supplementary materials for this article are available online. |
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Language
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English
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Source (journal)
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Technometrics : a journal of statistics for the physical, chemical, and engineering sciences. - Washington, D.C., 1959, currens
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Publication
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Washington, D.C.
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2017
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ISSN
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0040-1706
[print]
1537-2723
[online]
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DOI
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10.1080/00401706.2016.1186562
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Volume/pages
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59
:3
(2017)
, p. 305-318
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ISI
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000406527500003
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Full text (Publisher's DOI)
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Full text (open access)
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