William Li's headshot

William Li

Professor Emeritus
Supply Chain and Operations

Education:

  • BS
    Applied Mathematics Tsinghau University
  • MMath
    Statistics University of Waterloo
  • PhD
    Statistics University of Waterloo

Expertise:

  • Robust design and quality engineering
  • Optimal design
  • Choice experiments
  • Computer design
  • Data mining

About William

William Li 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.

Browse some of my work and see what I’ve been up to.

  • Whole Books
    "Applied Linear Statistical Models," (5th edition), by Kutner, Nachtsheim, Neter, and Li, McGraw-Hill Irwin, 2005
  • Journal Articles
    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.
  • Journal Articles
    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.
  • Journal Articles
    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
  • Journal Articles
    Lu, X., Li, W., and Xie, M. (2006), "A Class of Nearly Orthogonal arrays," Journal of Quality Technology, 38(2), 148–161.
  • Journal Articles
    Li, W., Lin, D. K. J., and Ye, K. (2003), "Optimal Foldover Plans for Non-Regular Designs," Technometrics, 45(3), 347–351.
  • Journal Articles
    Li, W., and Lin, D. K. J. (2003), "Optimal Foldover Plans for Two-Level Factorial Designs," Technometrics, 45(2), 142–149.
  • Journal Articles
    Li, W., and Nachtsheim, C. J. (2000), "Model-Robust Factorial Design," Technometrics, 42, 345–352.
  • Journal Articles
    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.
  • Journal Articles
    Shao, X., Cherkassky, C., and Li, W. (2000), "Measuring the VC-Dimension Using Optimized Experimental Design," Neural Computation, 12, 1969–1986.
  • Journal Articles
    Li, W., and Wu, C. F. J. (1997), "Columnwise-Pairwise Algorithms with Applications to the Construction of Supersaturated Designs," Technometrics, 37, 171–179, 1997.
  • Current Research

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

  • Scholarly Service

    Scholarly and Professional Service

  • Scholarly Service

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

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