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
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Chatterjee, Kashinath
Liu, Jiaqi
Ou, Zujun
description 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 lot of designs than other existing lower bound, which is a useful complement to the lower bounds of Lee discrepancy and can be served as a benchmark to search uniform designs with mixed levels in terms of Lee discrepancy.
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source Springer journals; Business Source Complete
subjects 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
title New lower bound for Lee discrepancy of asymmetrical factorials
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