题 目：Business, Industry and Government (BIG) Statistics

报告人：Prof.Dennis K.J. Lin

Department of Supply Chain and Information Systems

The Pennsylvania State University

时 间：2008年12月15日（周一）下昼2：00-3：00

地 点：伟易博新楼217课堂

摘要：In the past decade, we have witnessed the revolution of information technology. Its impact to statistical research is enormous. This talk attempts to address recent developments and some potential research issues in Business, Industry and Government (BIG) Statistics, with special focus on computer experiment and information systems. An overall introduction and review will be given at the beginning, followed by specific research potentials. For each subject, the problem will be introduced, some initial results will be presented, and future research problems will be suggested. If time permits, I will also discuss some recent advances in Search Engine and RFID study.

Brief Bio.

Dr. Dennis Lin is a University Distinguished Professor of Supply Chain Management and Statistics at Penn State University. His research interests are quality assurance, industrial statistics, data mining and forecasting. He has published near 150 papers in a wide variety of journals and is editor of Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of the American Statistical Association (ASA), an elected member of International Statistical Institute (ISI),an elected fellow of American Society of Quality (ASQ),a lifetime member of International Chinese Statistical Association (ICSA),a fellow of the Royal Statistical Society (RSS),and has received the Most Outstanding Presentation Award from SPES, ASA. He is currently a Chang-Jiang Scholar at Renmin University of China.