Most two-level fractional factorial designs used in practice involve independent or fully confounded effects (so-called regular designs). For example, for 16 runs and 6 factors, the classical resolution IV design with defining relation I = ABCE = BCDF = ADEF has become the de facto gold standard. Recent work has indicated that non-regular orthogonal designs could be preferable in some circumstances. Inhibiting a wider usage of these non-regular designs seems to be a combination of inertia/status quo and perhaps the general resistance and suspicion to designs that are computer generated to achieve \u27X-Y-Z\u27 optimality. In this paper each of the orthogonal non-isomorphic two-level,16 run designs with 6, 7, or 8 factors (both regular and n...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
At the beginning of an investigation there may be many conceivably important factors. It is often re...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
The regular resolution TV fractional factorial designs described in the have many desirable properti...
© 2015 American Statistical Association and the American Society for Quality. While the orthogonal d...
<p>Two-level orthogonal arrays of <i>N</i> runs, <i>k</i> factors, and a strength of 3 provide suita...
<div><p>While the orthogonal design of split-plot fractional factorial experiments has received much...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
Abstract: Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogon...
© 2018, © 2018 American Statistical Association and the American Society for Quality. Two-level orth...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
At the beginning of an investigation there may be many conceivably important factors. It is often re...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
The regular resolution TV fractional factorial designs described in the have many desirable properti...
© 2015 American Statistical Association and the American Society for Quality. While the orthogonal d...
<p>Two-level orthogonal arrays of <i>N</i> runs, <i>k</i> factors, and a strength of 3 provide suita...
<div><p>While the orthogonal design of split-plot fractional factorial experiments has received much...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
Abstract: Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogon...
© 2018, © 2018 American Statistical Association and the American Society for Quality. Two-level orth...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays ...
At the beginning of an investigation there may be many conceivably important factors. It is often re...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...