统计学系系列讲座之243期

时间：2016年12月6日（星期二）上午10:30-11:30

地点：史带楼502室

主持人：郁文 博士 复旦大学管理学院统计学系

主题：My (Lin’s) Recent Work on Design of Experiments

主讲人：Dennis Kon-Jin Lin,  University Distinguished Professor of Statistics,  The Pennsylvania State University, USA.

报告人简介：Dr. Dennis K. J. Lin is a university distinguished professor of supply chain and statistics at Penn State University. His research interests are quality assurance, industrial statistics, data mining, and response surface. He has published near 200 SCI/SSCI papers in a wide variety of journals. He currently serves or has served as associate editor for more than 10 professional journals and was co-editor for Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of ASA, IMS and ASQ, an elected member of ISI, a lifetime member of ICSA, and a fellow of RSS. He is an honorary chair professor for various universities, including Renmin University of China (as a Chang-Jiang Scholar), Fudan University, and National Chengchi University (Taiwan). His recent awards including, the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), and the Shewhart Medal (ASQ, 2015). This yea, he is awarded SPES Award at the 2016 Joint Statistical Meeting.

摘要：Computer models are often used to describe complicated physical phenomena encountered in science and engineering. It has become routine practice for most scientific investigation. These programs, due to the number and complexity of the equations, may have long running times. Specially-designed experiment is required to run these computer experiments much more efficiently. In this talk, I plan to present some recent research projects in design of experiment (mostly relevant to computer experiment) from my research group.  This includes, Design for On-Line Experiment, t-covering array, Order of Addition (OofA) experiment, New type of composite design, Fake Factor design, Run order consideration, as well as come new developments on Latin Hypercube design. For each subject, the general idea will be introduced, some initial results will be presented, and future research issues will be discussed.

统计学系

2016-12-1