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Title
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Optimum designs versus orthogonal arrays for main effects and two-factor interactions
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Author
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Abstract
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| Designs with full estimation capacity permit estimation of all main effects and all two-factor interactions. By allowing correlation among the effects, the run size of such designs can be smaller than required for a resolution of 5. To construct a design, one can either use commercial software for designs with optimized D-efficiencies or a catalog of orthogonal arrays. In the context of a wood construction experiment, we discuss how to choose between these approaches. We enumerate mixed-level and multilevel resolution-4 designs with run size up to 72 and with the maximum number of factors compatible with a full estimation capacity. Algorithmically constructed benchmark designs were generated with commercial software. Our study results in a list of recommended designs. |
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Language
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English
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Source (journal)
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Journal of quality technology / American Society for Quality Control. - Milwaukee, Wis., 1969, currens
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Publication
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Milwaukee, Wis.
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American Society for Quality Control
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2010
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ISSN
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0022-4065
[print]
2575-6230
[online]
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DOI
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10.1080/00224065.2010.11917816
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Volume/pages
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42
:2
(2010)
, p. 197-208
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ISI
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000276125700007
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Full text (Publisher's DOI)
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