报告时间：2025年11月10日下午14：00-15：00

报告地点：统计与数据科学学院109会议室

报告题目：Optimal Designs for Order-of-Addition (OofA) and OofA Screening Experiments with Multiple Input Factor Types

报告摘要：Order-of-addition (OofA) experiments are widely used in various felds to investigate how sequences of adding components infuence system behavior. In many realworld OofA experiments, the responses are infuenced by both the addition sequence and the level combinations of factors. Based on the transformations and aggregations of good lattice point sets, we construct a new class of optimal quantitative-sequence (QS) designs that are marginally coupled, pair-balanced, space-flling, and asymptotically orthogonal. The proposed QS designs have a certain flexibility in run and factor sizes and are especially appealing for high-dimensional cases. We also study the design and modeling of OofA experiments in scenarios where the number of components exceeds the available positions, with responses affected by factorial effects. We propose a new model combining OofA and factorial experiments, show the D-optimality of the full design under this model, and ofer two algebraic methods for constructing optimal fractional designs with economic run sizes. The efectiveness of the proposed designs is validated through simulation studies and real-world application.

专家简介：王亚平，华东师范大学统计学院教授，博士生导师，主要研究方向为试验设计与分析，计算机试验，机器学习，在AOS、JASA、Biometrika、《中国科学》等期刊发表20余篇论文，入选中国科协青年人才托举工程、国家高层次青年人才计划。