Colloquia - Fall 1999



Date Speaker Title
Tues, Dec 7 Paul Speckman
Department of Statistics
University of Missouri-Columbia
Generating Activities for Computer-Simulated Traffic
Tues, Nov 30 Doug Nychka
Geophysical Statistics Project
National Center for Atmospheric Research
Challenges in understanding the atmosphere
Thurs, Nov 18 Patrick T. O'Shaughnessy
Department of Occupational and Environmental Health
Department of Civil and Environmental Engineering
The University of Iowa
Algorithmic Statistical Process Control Techniques
Thurs, Nov 11 Mohsen Pourahmadi
Division of Statistics
Northern Illinois University
Modeling Covariance and Correlated Data
Thurs, Nov 4 Ronald D. Snee
Sigma Breakthrough Technologies, Inc.
Six Sigma and Its Impact on American Business
Thurs, Oct 28 Peter Smith
Department of Statistics and Operations Research
RMIT, Australia
Renovated Scatterplots
Thurs, Oct 21 Howell Tong
London School of Economics and Hong Kong University
Some recent non-parametric tools in nonlinear time series
Wed, Oct 20 Howell Tong
London School of Economics and Hong Kong University
Chaos in Statistics
Thurs, Oct 14Dan Nettleton
Department of Mathematics and Statistics
University of Nebraska
Mapping Quantitative Trait Loci through Principal Components Regression
Thurs, Oct 7John Castelloe
SAS Institute Inc.
New Developments in SAS Statistical Software
Thurs, Sep 30Mike Daniels
Iowa State University
Department of Statistics
A hierarchical approach to covariance function estimation for time series
Thurs, Sep 23Philip Dixon
Iowa State University
Department of Statistics
Equivalence tests for trends: When can we be sure an amphibian population is not declining?
Thurs, Sep 16 Mark Ecker
University of Northern Iowa
Department of Mathematics
Bayesian Hot Spot Detection in the Presence of Spatial Trend
Thurs, Sep 9 B.L.S. Prakasa Rao
Indian Statistical Institute
Cramer-Rao Type Integral Inequalities
Thurs, Sep 2 Joseph B. Lang and Thor Aspelund
Univ. of Iowa
Dept of Statistics and Actuarial Science
Binormal Association -- Marginal Models for ROC Analysis