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Factor Screening in Simulation: Performance of a Two-Stage Random Balance/Plackett-Burman Procedure.

机译:模拟中的因子筛选:两阶段随机平衡/ plackett-Burman过程的性能。

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In simulation models involving many factors (input variables), usually relatively few are important. Often it is desired to screen out these important factors using a limited number of computer runs. This paper examines the performance of a two-stage screening procedure based on random balance and Plackett-Burman designs. (Author)

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