Add to ORKGBlocked two-level fractional factorial designs are a very useful tool for efficient data collection in agricultural and other scientific research. In most experiments, in addition to the main effects, some two-factor interactions are also meaningful and need to be estimated. We propose a method for efficiently selecting blocked two-level fractional factorial designs when some of the two-factor interactions are non-negligible. We then present some results for a design with only 8 or 16 runs to illustrate how to use this method
Any prior information an experimenter has should be incorporated into the design of further experime...
clear design This note builds on results from Wu, Mee and Tang‘s (2012) article (henceforth WMT) on ...
Minimum aberration and clear criteria are two important rules for selecting optimal fractional facto...
A new method is proposed for selecting the optimal non-regular fractional factorial designs in the s...
This dissertation documents the results of studies of two research topics for fractional factorial d...
This dissertation documents the results of studies of two research topics for fractional factorial d...
Fractional factorial designs are used in a wide variety of disciplines as a means of studying how ch...
When using a fractional factorial design, some runs may be more difficult to implement than others. ...
Two-level factorial designs are widely used in industry. For experiments involving n factors, the co...
Two-level factorial designs are widely used in industry. For experiments involving n factors, the c...
Experiments in greenhouses usually have to be conducted with very limited resources. This makes it ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73673/1/j.1467-9876.2003.05029.x.pd
Regular two-level fractional factorial designs are often used in industrial ex-periments as screenin...
Several criteria have been proposed for ranking blocked fractional factorial designs. For large frac...
Several criteria have been proposed for ranking blocked fractional factorial designs. For large frac...
Any prior information an experimenter has should be incorporated into the design of further experime...
clear design This note builds on results from Wu, Mee and Tang‘s (2012) article (henceforth WMT) on ...
Minimum aberration and clear criteria are two important rules for selecting optimal fractional facto...
A new method is proposed for selecting the optimal non-regular fractional factorial designs in the s...
This dissertation documents the results of studies of two research topics for fractional factorial d...
This dissertation documents the results of studies of two research topics for fractional factorial d...
Fractional factorial designs are used in a wide variety of disciplines as a means of studying how ch...
When using a fractional factorial design, some runs may be more difficult to implement than others. ...
Two-level factorial designs are widely used in industry. For experiments involving n factors, the co...
Two-level factorial designs are widely used in industry. For experiments involving n factors, the c...
Experiments in greenhouses usually have to be conducted with very limited resources. This makes it ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73673/1/j.1467-9876.2003.05029.x.pd
Regular two-level fractional factorial designs are often used in industrial ex-periments as screenin...
Several criteria have been proposed for ranking blocked fractional factorial designs. For large frac...
Several criteria have been proposed for ranking blocked fractional factorial designs. For large frac...
Any prior information an experimenter has should be incorporated into the design of further experime...
clear design This note builds on results from Wu, Mee and Tang‘s (2012) article (henceforth WMT) on ...
Minimum aberration and clear criteria are two important rules for selecting optimal fractional facto...