The Five Most Consequential Ideas in the History of Statistics
Abstract:
Five ideas are identified as the most consequential in the history of statistics. All had origins that predate the 20th century; all have enduring contemporary relevance; all are basic yet sufficiently subtle that they can puzzle and perplex some of the best minds even today. And, no, Bayes Theorem is not in the list.
Speaker Biography:
Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor and Chairman, Department of Statistics and the College at the University of Chicago. Stephen's research interests include: the investigation of the history of statistical methods; the study of the reception of quantification in the sciences; the investigation of how understanding of regression and aggregation paradoxes have influenced policy debates; the study of how mathematical developments have become confounded with personal disputes in the formation of scientific schools of thought. Stephen has 120+ published articles and two books on the history of Statistics: "The History of Statistics: The Measurement of Uncertainty before 1900" and "Statistics on the Table: The History of Statistical Concepts and Methods." Stephen has been at the University of Chicago since 1979. Stephen was a recipient of the 1998 Quantrell Award, presented annually to University of Chicago faculty members in recognition of excellence in teaching undergraduate students. Stephen Stigler's wit and erudition have earned him frequent speaking invitations.
Lunch is $30 for CCASA members, $35 for nonmembers. Nonmembers, join the chapter for a year for only $15 and get the discount plus all the other benefits of membership!
Please register for the luncheon by Friday November 28, 2008.