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Fractional Factorial Designs

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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Partially replicated fractional factorial designs

Metrika, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dasgupta, Nairanjana   +2 more
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Unraveling the Seedless Growth of Gold Nanostars through Fractional Factorial Design

Journal of Physical Chemistry C, 2022
Rui Zhang   +3 more
semanticscholar   +1 more source

Tripling of fractional factorial designs

Journal of Statistical Planning and Inference, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ou, Zujun, Zhang, Minghui, Qin, Hong
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Partially Duplicated Fractional Factorial Designs

Technometrics, 1963
This paper describes two level fractional factorial designs in which some of the treatment combinations are duplicated. As is well known, the duplicated runs provide an unbiased estimate of error variance and more precise estimates of the effects. An example is given with the analysis procedure.
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A 2D numerical benchmark of an air Ranque-Hilsch vortex tube based on a fractional factorial design

, 2021
Junior Lagrandeur   +3 more
semanticscholar   +1 more source

Augmenting Fractional Factorial Designs

2009
Fractional factorial designs should often be followed by additional experimentation, either with another designed experiment or with confirmation runs. This chapter surveys the options and then discusses several particularly common situations.
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Two-Level Factorial and Fractional Factorial Designs

2002
The 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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