New lower bound for Lee discrepancy of asymmetrical factorials

Lee discrepancy has wide applications in design of experiments, which can be used to measure the uniformity of fractional factorials. An improved lower bound of Lee discrepancy for asymmetrical factorials with mixed two-, three- and four-level is presented. The new lower bound is more accurate for a...

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Veröffentlicht in:	Statistical papers (Berlin, Germany) Germany), 2020-08, Vol.61 (4), p.1763-1772
Hauptverfasser:	Hu, Liuping, Chatterjee, Kashinath, Liu, Jiaqi, Ou, Zujun
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymmetry Design of experiments Economic Theory/Quantitative Economics/Mathematical Methods Economics Factorials Finance Insurance Lower bounds Management Mathematics and Statistics Operations Research/Decision Theory Probability Theory and Stochastic Processes Regular Article Statistics Statistics for Business
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