William Li
Contact
Education:
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BSApplied Mathematics Tsinghau University
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MathStatistics University of Waterloo
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PhDStatistics University of Waterloo
Expertise:
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Robust design and quality engineering
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Optimal design
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Choice experiments
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Computer design
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Data mining
Biography
William Li is an Emeritus Professor in the Supply Chain and Operations Department at the Carlson School of Management. 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. He had worked at Ford Motor Company prior to joining the Carlson School at the University of Minnesota. He has taught international executive MBA courses in different programs in Austria, China, and Poland and won several teaching awards in 2006, 2012, 2014, 2015, and 2016. He is an invited professor at Fudan University and has taught EMBA courses for several programs in China. He is a Fellow of the American Statistical Association (ASA). 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.
Selected Works & Activities
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Whole Books"Applied Linear Statistical Models," (5th edition), by Kutner, Nachtsheim, Neter, and Li, McGraw-Hill Irwin, 2005
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Journal ArticlesLi, 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.
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Journal ArticlesChoi, 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.
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Journal ArticlesJones, 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
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Journal ArticlesLu, X., Li, W., and Xie, M. (2006), "A Class of Nearly Orthogonal arrays," Journal of Quality Technology, 38(2), 148–161.
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Journal ArticlesLi, W., Lin, D. K. J., and Ye, K. (2003), "Optimal Foldover Plans for Non-Regular Designs," Technometrics, 45(3), 347–351.
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Journal ArticlesLi, W., and Lin, D. K. J. (2003), "Optimal Foldover Plans for Two-Level Factorial Designs," Technometrics, 45(2), 142–149.
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Journal ArticlesLi, W., and Nachtsheim, C. J. (2000), "Model-Robust Factorial Design," Technometrics, 42, 345–352.
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Journal ArticlesYe, K., Li, W., and Sudjianto, A. (2000), "Algorithmic Construction of Optimal Symmetric Latin Hypercube Designs," Journal of Statistical Planning and Inference, 90, 145–159.
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Journal ArticlesShao, X., Cherkassky, C., and Li, W. (2000), "Measuring the VC-Dimension Using Optimized Experimental Design," Neural Computation, 12, 1969–1986.
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Journal ArticlesLi, W., and Wu, C. F. J. (1997), "Columnwise-Pairwise Algorithms with Applications to the Construction of Supersaturated Designs," Technometrics, 37, 171–179, 1997.
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Optimal design of industrial experiments, robust designs, efficient computer experiments, data mining, and conjoint analysis and design of discrete choice experiments
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Scholarly and Professional Service
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Associate Editor for Technometrics (from 2010), Applied Stochastic Models in Business and Industry, and the Journal of Statistics Education