Column-orthogonal strong orthogonal arrays

报告人：刘民千

报告地点：腾讯会议

报告时间：2020年07月15日星期三10:00-11:00

邀请人：孙法省

报告摘要：

Strong orthogonal arrays were recently introduced as a new class of space-filling designs for computer experiments due to their better stratifications than orthogonal arrays. To further improve the space-filling properties in low dimensions while keeping the column orthogonality, we propose column-orthogonal strong orthogonal arrays of strength two star and three. Construction methods and characterizations of such designs are provided. The resulting strong orthogonal arrays, with the numbers of levels being increased, have their space-filling properties in one and two dimensions being strengthened. They can accommodate comparable or even larger numbers of factors than those in the existing literature, enjoy flexible run sizes, and possess the column orthogonality. The construction methods are convenient and flexible, and the resulting designs are good choices for computer experiments.

会议网址：https://meeting.tencent.com/s/xX9tFY627Wkd

会议ID：323 233 725

主讲人简介：

刘民千，南开大学英才教授、博士生导师，南开大学统计与数据科学学院副院长。国家“万人计划”科技创新领军人才、享受国务院政府特殊津贴专家、科技部中青年科技创新领军人才、教育部新世纪优秀人才、天津市中青年科技创新领军人才、天津市“131”创新型人才团队带头人、天津市“高层次创新创业团队”团队负责人。兼任教育部高等学校统计学类专业教学指导委员会委员、中国数学会均匀设计分会主任委员、中国现场统计研究会试验设计分会副理事长、天津市现场统计研究会理事长、国际统计重要期刊《Communications in Statistics》的Associate Editor、国内核心期刊《数理统计与管理》和《应用概率统计》编委等。