报告摘要: Computer models have became a routine practice for understanding complicated physical phenomena. Specially-designed experiment is required to run these computer experiments much more efficiently. Space-filling designs, such as Uniform Design or Latin hypercube (LHC) designs have recently found wide applications in running computer experiments.  However, the original construction of LHCs by mating factors randomly is susceptible to having potential correlations among input factors.  It is thus desirable to have an orthogonal Latin hypercube design.  A series of orthogonal LHC have been constructed to be suitably applied to various types of computer models.  This includes regular (first-order and second-order) orthogonal LHC, nested orthogonal LHC, sliced orthogonal LHC, uniform sliced LHC, as well as orthogonal LHC for computer models with both qualitative and quantitative variables.  Recent developments on these newly constructed designs will be reviewed and discussed, from both theoretical and application perspectives. 

This talk is based upon some initial results of my long time collaboration efforts with a computer experiment research team at Nankai University (Tianjing, China), led by Professors Minqian Liu and Jianfeng Yang.  Their efforts must be acknowledged. 

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 year, he is awarded SPES Award at the 2016 Joint Statistical Meeting.