Professor
Carlson, Supply Chain & Operations
3-209 CarlSMgmt
612/625-6841
wli@umn.edu

William Li is Professor of Supply Chain and Operations Department in the Carlson School of Management at the University of Minnesota. He received his B.Sc. in Applied Mathematics from the Tsinghua University in China, and both his M.S. and his Ph.D. in Statistics from the University of Waterloo in Canada. After he graduated in 1995, he worked in the Reliability Methods Department as a reliability engineer at Ford Motor Company and won the 1996 Customer-Driven Quality Award at Ford. In 1996 he joined the Operations and Management Science Department at the University of Minnesota. He has taught international executive MBA courses in different programs in Austria, China, and Poland and won the 2006 Teaching Award of the Carlson School of Management. He is an invited professor at Fudan University and has taught executive MBA courses for the School of Management at Fudan. His research articles have appeared in journals such as Journal of American Statistics Association, Technometrics, Journal of Quality Technology, Journal of Statistical Planning and Inference, and Neural Computation. Among his publications is a textbook "Applied Linear Statistical Models" (with Kutner, Nachtsheim, and Neter), 5th Edition, Irwin.

“Applied Linear Statistical Models,” (5th edition), by Kutner, Nachtsheim, Neter, and Li, McGraw-Hill Irwin, 2005

Li, W., Nachtsheim, C.J., Wang, K., Reul, R., and Albrecht, M. (2013), “Conjoint Analysis and Discrete Choice Experiments for Quality Improvement,” Journal of Quality Technology 45(1), 74–99.

Choi, N.H., Li, W., and Zhu, J. (2010), “Variable Selection with the Strong Heredity Constraint and Its Oracle Property,” Journal of American Statistical Association, 105, 354–364.

Jones, B., Li, W., and Nachtsheim, C. J., and Ye, K. (2009), “Model-Robust Supersaturated and Partially Supersaturated Designs,” Journal of Statistical Planning and Inference, 139, 45–53

Lu, X., Li, W., and Xie, M. (2006), “A Class of Nearly Orthogonal arrays,” Journal of Quality Technology, 38(2), 148–161.

Li, W., Lin, D. K. J., and Ye, K. (2003), “Optimal Foldover Plans for Non-Regular Designs,” Technometrics, 45(3), 347–351.

Li, W., and Lin, D. K. J. (2003), “Optimal Foldover Plans for Two-Level Factorial Designs,” Technometrics, 45(2), 142–149.

Li, W., and Nachtsheim, C. J. (2000), “Model-Robust Factorial Design,” Technometrics, 42, 345–352.

Ye, K., Li, W., and Sudjianto, A. (2000), “Algorithmic Construction of Optimal Symmetric Latin Hypercube Designs,” Journal of Statistical Planning and Inference, 90, 145–159.

Shao, X., Cherkassky, C., and Li, W. (2000), “Measuring the VC-Dimension Using Optimized Experimental Design,” Neural Computation, 12, 1969–1986.

Li, W., and Wu, C. F. J. (1997), “Columnwise-Pairwise Algorithms with Applications to the Construction of Supersaturated Designs,” Technometrics, 37, 171–179, 1997.

Spring 2013

IBUS 6400 Carlson MBA Global Discovery Sec. 082
SCO 8651 Experimental Design Sec. 001

Fall 2013

IBUS 6400 Carlson MBA Global Discovery Sec. 081
MBA 6120 Data Analysis and Statistics for Managers Sec. 001
MBA 6120 Data Analysis and Statistics for Managers Sec. 002

Scholarly and Professional Service

Associate Editor for Technometrics (from 2010), Applied Stochastic Models in Business and Industry, and the Journal of Statistics Education

Current Research

Optimal design of industrial experiments, robust designs, efficient computer experiments, data mining, and conjoint analysis and design of discrete choice experiments