CV for William G. Hunter dated Feb 1986

William G. Hunter is currently Professor of Statistics and Engineering and Director of the Center for Quality and Productivity Improvement at the University of Wisconsin-Madison. He received a bachelor's degree in Chemical Engineering from Princeton University and master's degree in Chemical Engineering from the University of Illinois. He received M.S and Ph.D. degrees in Statistics from the University of Wisconsin-Madison. Professor Hunter has held visiting faculty positions at the Imperial college of Science and Technology in England, the University of Singapore in Singapore, and the University of Ife in Nigeria. For approximately 25 years he has been an industrial consultant and has lectured widely on the use of statistical methods to increase productivity and quality in North and South America, Europe, Asia, and Africa.

He was the founding chairman of the Statistics Division of the American Society for Quality Control. Professor Hunter is a Fellow of the American Statistical Association, the American Association for the Advancement of Science, and the American Society for Quality Control. He was an Associate Editor of Technometrics from 1963 to 1983. He has served as the chairman of the Section on Physical and Engineering Sciences of the American Statistical Association. Professor Hunter serves on the Board of Directors of the American Statistical Association. For the National Research Council of the National Academy of Sciences and the National Academy of Engineering, he (1) has served on the Environmental Studies board and (2) is now serving on the Panel on the use of Statistical Assessments as Evidence in the Courts.

Professor Hunter is the author of more than 80 technical article. His research interests include quality improvement, productivity improvement, experimental design, data analysis, model-building, water and air pollution, environmental law, chemical kinetics, statistical consulting, Bayesian methods, and organizational management. He is co-author of a book entitled Statistics for Experimenters: An introduction to Design, Data Analysis, and Model Building.

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