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The Future of Statistical Software: Proceedings of a Forum
Andrew Kirsch is a statistical specialist with 3M in St. Paul, Minnesota. He holds an M.S. in statistics from the University of Wisconsin and an M.A. in applied mathematics from the University of Massachusetts. He has worked with 3M plants and laboratories for the past 9 years on a wide variety of products and processes, from electronics to contact lenses. He also has responsibilities in the areas of software, education, supervision, and methods research.
William DuMouchel has been chief statistical scientist at the Software Products Division of Bolt Beranek Newman Inc. since 1987. He earned a Ph.D. in statistics from Yale University in 1971. Before coming to BBN Software Products he held faculty appointments at the University of California, Berkeley, University of Michigan, Massachusetts Institute of Technology, and Harvard University. He has been elected a fellow of the American Statistical Association and of the Institute of Mathematical Statistics, and he is a member of the International Statistical Institute. His research interests include statistical computing, Bayesian statistics and meta-analysis, and environmental and insurance risk assessment.
Daryl Pregibon is head of the Statistics and Data Analysis Research Department at AT&T Bell Laboratories in Murray Hill, New Jersey. He received his Ph.D. in statistics from the University of Toronto in 1979. Dr. Pregibon spent one postdoctoral year at Princeton University and another at the University of Washington. He has been at AT&T Bell Laboratories for the past 9 years. Dr. Pregibon has been involved in the development of knowledge-based software for statistical data analysis since his coming to Bell Laboratories. He is a co-developer, with W.A. Gale, of the first prototype expert system for regression analysis, REX. He has contributed substantially to the theory, application, and computational aspects of generalized linear models. His current interests concern interactive statistical graphics and tree-based modeling. Dr. Pregibon is a fellow of the American Statistical Association and a member of the International Statistical Institute.