Results 111 to 120 of about 2,198 (156)
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Design-Plots for Factorial and Fractional-Factorial Designs
Journal of Quality Technology, 1998This chapter develops design-plots for viewing the set of run conditions for experiment designs. The emphasis is on factorial and fractional factorial designs but mixture designs nested designs and irregular designs are also presented. The fundamental concept for designs with more than two factors is to place points on a regular grid.
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Fractional factorial designs for legal psychology
Behavioral Sciences & the Law, 2002AbstractResearchers considering novel or exploratory psycholegal research are often able to easily generate a sizable list of independent variables (IVs) that might influence a measure of interest. Where the research question is novel and the literature is not developed, however, choosing from among a long list of potential variables those worthy of ...
Dennis P, Stolle +3 more
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D-optimal fractional factorial designs
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiu, Wan-Yi, John, Peter W. M.
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Multistratum fractional factorial designs
Statistica Sinica, 2011Summary: Recent work on multistratum fractional factorial designs is set in a general and unified framework, and a criterion for selecting multistratum fractional factorial designs that takes stratum variances into account is proposed. Application of the general theory is illustrated on designs of experiments with multiple processing stages, including ...
Cheng, Ching-Shui, Tsai, Pi-Wen
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Combinatorial Equivalence of Fractional Factorial Designs
Communications in Statistics - Simulation and Computation, 2014Two symmetrical fractional factorial designs are said to be combinatorially equivalent if one design can be obtained from another by reordering the runs, relabeling the factors and relabeling the levels of one or more factors. This article presents concepts of ordered distance frequency matrix, distance frequency vector, and reduced distance frequency ...
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2016
In the two-level experiment with k input factors, there are 2 k possible runs. For k = 3, there are only eight runs. But even with five factors, 25 = 32 runs may be prohibitively expensive and time consuming. The question is whether it is possible to use some subset of all possible runs and still be able to fit a first order polynomial approximation to
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In the two-level experiment with k input factors, there are 2 k possible runs. For k = 3, there are only eight runs. But even with five factors, 25 = 32 runs may be prohibitively expensive and time consuming. The question is whether it is possible to use some subset of all possible runs and still be able to fit a first order polynomial approximation to
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Tripling of fractional factorial designs
Journal of Statistical Planning and Inference, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ou, Zujun, Zhang, Minghui, Qin, Hong
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D‐optimal minimax fractional factorial designs
Canadian Journal of Statistics, 2013AbstractThe D‐optimal minimax criterion is proposed to construct fractional factorial designs. The resulting designs are very efficient, and robust against misspecification of the effects in the linear model. The criterion was first proposed by Wilmut & Zhou (2011); their work is limited to two‐level factorial designs, however.
Lin, Dennis K. J., Zhou, Julie
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Applied Factorial and Fractional Designs.
Applied Statistics, 1985Kinley Larntz +2 more
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Two-Level Factorial and Fractional Factorial Designs
2002The design of two-level blocked and split-plot experiments has recently received a considerable amount of attention in the literature. In this chapter, we will give a brief overview of the recent developments. First, we introduce the 2 m and 2 m−f factorial designs and the concepts of resolution and aberration.
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