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ON FRACTIONAL sm FACTORIAL DESIGNSSome of the next articles are maybe not open access.
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International Journal of Coal Preparation and Utilization, 2021
Implementing the planned execution of experiments will optimize the resources and time of a newly developed process or equipment. In the present work, the screening machine is newly developed equipment designed for the separation of coal.
B. Shanmugam +5 more
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Implementing the planned execution of experiments will optimize the resources and time of a newly developed process or equipment. In the present work, the screening machine is newly developed equipment designed for the separation of coal.
B. Shanmugam +5 more
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WIREs Computational Statistics, 2009
AbstractFractional factorial designs are among the most important statistical contributions to the efficient exploration of the effects of several controllable factors on a response of interest. Fractional factorials are widely used in experiments in fields as diverse as agriculture, industry, and medical research.
Richard F. Gunst, Robert L. Mason
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AbstractFractional factorial designs are among the most important statistical contributions to the efficient exploration of the effects of several controllable factors on a response of interest. Fractional factorials are widely used in experiments in fields as diverse as agriculture, industry, and medical research.
Richard F. Gunst, Robert L. Mason
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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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ON FRACTIONAL sm FACTORIAL DESIGNS
SUT Journal of Mathematics, 1999Summary: The statistical structure of the fraction of symmetrical \(s^m\) factorial designs is investigated in some detail. In this paper, we show that the information matrix of a fractional \(s^m\) factorial design is determined completely by its characteristic vector.
Hyodo, Yoshifumi +2 more
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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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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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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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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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Minimising drag coefficient of a hatchback car utilising fractional factorial design algorithm
European Journal of Computational Mechanics, 2018Aerodynamic force is known as one of the most important attributes, which has significant weight on fuel consumption and vehicle performance. In this paper, minimising drag coefficient is performed considering modification of rear end factors.
M. Vahdati, S. Beigmoradi, A. Batooei
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