The Plackett–Burman design is a type of experimental design used in statistics and industrial experimentation for screening purposes. It is particularly useful for identifying the most influential factors among a large number of variables with a limited number of experimental runs. This design is named after the statisticians Robert L. Plackett and John P. Burman, who introduced it in 1946.
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