JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

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Legend: = Applied Session, = Theme Session, = Presenter, Sheraton Seattle Hotel & Towers = “S”
Washington State Convention & Trade Center = “CC”, Grand Hyatt Seattle = “H”

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466 Applied Session Wed, 8/9/06, 2:00 PM - 3:50 PM CC-603
Studies in Air Quality and Pollution - Contributed - Papers
Section on Statistics and the Environment, WNAR
Chair(s): Jay Ver Hoef, National Marine Mammal Lab
     2:05 PM   Comparing CMAQ to Observations — Li Chen, The University of Chicago; Michael L. Stein, The University of Chicago
     2:20 PM   A Case Study in Estimating Percentage Detection Biases along a Recorded Ozone Profile — Wendy Meiring, University of California, Santa Barbara
     2:35 PM   Statistical Conditional Simulation of a Multiresolution Numerical Air Quality Model — Xiaofeng Shao, The University of Chicago; Michael L. Stein, The University of Chicago
     2:50 PM   New Classes of Asymmetric Spatial-Temporal Covariance Models — Man Sik Park, Colorado State University
     3:05 PM   Multivariate Spatio-Temporal Model for Speciated Fine Particle Matter — Jungsoon Choi, North Carolina State University; Montserrat Fuentes, North Carolina State University; Brian Reich, North Carolina State University
     3:20 PM   Fast and Flexible Statistical Techniques for the Analysis of Space-Time Data with Complex Structures — Dana Draghicescu, City University of New York-Hunter College; Michael Porter, City University of New York
     3:35 PM   Statistical Challenges in Comparisons of Measured Indoor and Outdoor Exposures in an Urban Setting — Sorina Eftim, Johns Hopkins Bloomberg School of Public Health; Alison Geyh, Johns Hopkins Bloomberg School of Public Health; Patrick Breysse, Johns Hopkins Bloomberg School of Public Health
 

JSM 2006 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised April, 2006