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An adjective that indicates that fewer experiments are needed than the full design calls for.
Related Articles:
- Balanced designA fractional factorial design in which an equal number of trials (at every level state) are conducted for each factor.
- BlockingA technique used to account for variables that the experimenter wishes to avoid when structuring fractional factorial experimental test trials; may involve a dummy factor that does not interact with the real factors.
- Box-Behnken designsEfficient, highly fractional, three-level factorial designs employed when full second-order polynomial models are to be used in response surface studies of three or more factors. A form of a response surface design.
- Factorial experiment 2k-p fractionalA fractional factorial experiment with a size that is 2-p faction of the 2k factorial experiment size. 2k-p fractional
- Graeco-latin square designA fractional factorial design with 4 factors each with g levels. The combination of levels of any one factor appears only once with the other three factor levels in an experiment of size g2.
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