Iowa State University Iowa State University
Iowa State University

Fall Semester 1999 Seminars:

Please Click on the Speaker's Name to View the Abstract:
August 30 Dean Isaacson, Iowa State University, Current Status and Future Plans
September 6
September 13 Yves Berger, University of Southampton , Approximation of Optimal Generalised Regression Estimator
September 20 Grace Chan, University of Iowa, A Statistical Application of Fractal Geometry
September 27 Yuhong Yang, Iowa State University, Adaptive Regression by Mixing
October 4 Rich Levine, University of California at Davis, Implementations of the Monte Carlo EM algorithm

Juanjuan Fan, University of California at Davis, A Class of Weighted Dependence Measures for Bivariate Failure Time Data
October 11 Fred Hulting, Pillsbury Co. , Shell Industrial Seminar
October 14 Pierre Duchesne, University of Montreal, On Robustness in Survey Sampling and The Use of Calibration Estimators
October 18 Bruce Weir, North Carolina State University, Are DNA Profiles Unique?

Bruce Weir, North Carolina State University, Bioinformatics: A New Discipline, Snedecor Lecture
October 25 Valerie Tarasuk, University of Toronto, An examination of the interface between statistical and social/behavioural concepts in nutrition: the case of food insecurity
November 1 Jeff Wilson, Arizona State University, Applications of the Generalized Quasilikelihood Function
November 4 Al Tupek, U.S. Census Bureau,
Coordinating the Sample Designs for the Household Surveys that Provide the Nation's Vital Statistics
November 8 Anthony Edwards, Cambridge University, Zyskind Lecture: Fisher Information and the Fundamental Theorem of Natural Selection
November 15 Jeff Wu, University of Michigan, Industrial experimental design since Box, Hunter and Hunter
November 22
November 29 Doug Nychka, National Center of Atmospheric Research, Challenges in Understanding the Atmosphere
December 6 Paul Speckman, University of Missouri at Columbia, Generating Activities for Computer-Simulated Traffic
December 9 Mike Elliot, University of Michigan, Model-Based Alternatives to Trimming Survey Weights