2008
DOI: 10.1080/00224065.2008.11917748
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Optimal Foldovers and Semifolding for Minimum Aberration Even Fractional Factorial Designs

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Cited by 7 publications
(4 citation statements)
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“…The initial 2normalIV6MathClass-bin−2 is termed even because all words in the defining relation are of even length. As shown in Mee and Xiao , semifoldovers of even designs partition the 2FI aliases in the same manner as the foldover. Thus, semifoldovers can be an efficient choice of follow‐up although the combined design is irregular.…”
Section: Comparing Follow‐up Designsmentioning
confidence: 89%
See 1 more Smart Citation
“…The initial 2normalIV6MathClass-bin−2 is termed even because all words in the defining relation are of even length. As shown in Mee and Xiao , semifoldovers of even designs partition the 2FI aliases in the same manner as the foldover. Thus, semifoldovers can be an efficient choice of follow‐up although the combined design is irregular.…”
Section: Comparing Follow‐up Designsmentioning
confidence: 89%
“…For resolution IV designs, semifoldovers often allow for estimation of as many 2FIs as a foldover. Mee and Xiao discuss this benefit but note a loss of efficiency as the combined design is an irregular fraction. In general, semifolding is not recommended as a follow‐up to regular resolution III designs as this technique is not guaranteed to increase resolution to IV.…”
Section: Introductionmentioning
confidence: 99%
“…Alternative approaches include the D-optimal augmented design (Mitchell, 1974), the Bayesian approach for augmenting 2 k−p designs proposed by Meyer et al (1996), and semi-foldover design (Mee and Peralta, 2000). For even designs, in which their defining relation consists entirely of even-length words, Mee and Xiao (2008) studied optimal foldovers and semi-foldovers for resolution IV designs. We compared our designs with the corresponding D-optimal augmented designs.…”
Section: Discussionmentioning
confidence: 99%
“…The plans to be selected will be those that maximize the decoupling of 2FIs. Mee and Xiao presented details for identifying foldover fractions for designs with 6 to 11 factors, but specific guidelines to augment designs with 11 to 16 factors, along with equivalence tables and percentages distributions, are not available. This article focuses in these issues and provides guidelines that are easy to understand and implement.…”
Section: Introductionmentioning
confidence: 99%