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活动&公告
活动&公告
报告时间： 2022-11-04 14:00——2022-11-04 16:00
报告地点： 腾讯会议：745-406-998
报告题目： Construction of mixed-level screening designs using Hadamard matrices.
报告人：胡波 博士
主办单位：数据科学与人工智能学院 数理统计研究中心
【专家简介】
胡波，现东北师范大学统计学博士。主要从事计算机试验设计、试验设计、大数据抽样、数理统计方面的研究。
【讲座摘要】
Modern experiments typically involve a very large number of variables. Screening designs allow experimenters to identify active factors in a minimum number of trials. To save costs, only low-level factorial designs are considered for screening experiments, especially two- and three-level designs. In this article, we provide a systematic method to construct screening designs that contain both two- and three-level factors based on Hadamard matrices with the fold-over structure. The proposed designs have good performance in terms of D-optimal and A-optimal criteria, and the estimates of the main effects are unbiased by the second-order effects, making them very suitable for screening experiments. Besides, some theoretical results on D- and A-optimality are obtained as a by-product.
撰稿：孙晓霞 审核：富宇 单位：数据科学与人工智能学院
