Designs for Estimating Main Effects and Some Two-Factor Interactions

Robert W. Mee
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Robert W. Mee: University of Tennessee, Department of Statistics, Operations, and Management Science

Chapter 7 in A Comprehensive Guide to Factorial Two-Level Experimentation, 2009, pp 245-282 from Springer

Abstract: Abstract This chapter presents regular resolution IV 2 k−f fractional factorial designs, strength-3 orthogonal arrays, and folded-over nonorthogonal designs. Provided three-factor and higher-order interactions are negligible, all of these designs provide unbiased estimates for main effects. These designs also devote at least N/2 2212 1 degrees of freedom to estimating combinations of two-factor interactions; some designs will even have two-factor interactions clear of aliasing with other two-factor interactions.

Keywords: Root Mean Square Error; Fractional Factorial Design; Minimum Aberration; Melt Index; Measurement Error Variance (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-89103-3_7

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DOI: 10.1007/b105081_7

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