Results 211 to 220 of about 2,293 (256)
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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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Strategies for Semi‐folding Fractional Factorial Designs
Quality and Reliability Engineering International, 2005AbstractEngineers utilize screening experiments to find significant main effects of factors for quality improvement. After the analysis of the data resulting from this type of experiment, further investigation into the significance of some two‐factor interactions might be desirable.
P. C. Wang, Carl Lee
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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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Algebraic Generation of Orthogonal Fractional Factorial Designs
2013The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to generate all the fractional factorial designs that satisfy a given set of constraints in terms of orthogonality [Fontana, Pistone and Rogantin (JSPI, 2000), Pistone and Rogantin (JSPI, 2008)]. The general case of mixed level designs without restrictions
FONTANA, ROBERTO, PISTONE, Giovanni
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