JSM Preliminary Online Program
This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

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
Washington Convention Center = “CC”, Renaissance Washington, DC Hotel = “RH”

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313 Applied Session Tue, 8/4/09, 10:30 AM - 12:20 PM CC-159A
Applied Regression Techniques - Contributed - Papers
Section on Physical and Engineering Sciences, Section on Quality and Productivity
Chair(s): Joe H. Sullivan, Mississippi State University
    10:35 AM   Interior Analysis in Multiple Linear RegressionJohn F. Wellington, Indiana University Purdue University Fort Wayne; Stephen A. Lewis, Mongrel Works, Inc.
    10:50 AM   Comparison of Methods to Understand the Link Between Climate Variability and Hurricane CountsRoshanak Nateghi, Johns Hopkins University; Seth D. Guikema, Johns Hopkins University; Steven Quiring, Texas A&M University
    11:05 AM   Comparison of Risks of Generalized Ridge Regression Estimators and Least Square Estimators Averaged Over the Linex Loss FunctionMarvin H.J. Gruber, Rochester Institute of Technology
    11:20 AM   Modeling Approaches Applied to Pulse Jet Mixing Data - Part 1Greg Piepel, Pacific Northwest National Laboratory; Brett Amidan, Pacific Northwest National Laboratory; Alejandro Heredia Langner, Pacific Northwest National Laboratory; Perry Meyer, Pacific Northwest National Laboratory; Beric Wells, Pacific Northwest National Laboratory; James Fort, Pacific Northwest National Laboratory; Judith Bamberger, Pacific Northwest National Laboratory; William Kuhn, Pacific Northwest National Laboratory
    11:35 AM   Modeling Approaches Applied to Pulse Jet Mixing Data - Part 2Brett Amidan, Pacific Northwest National Laboratory; Greg Piepel, Pacific Northwest National Laboratory; Alejandro Heredia-Langner, Pacific Northwest National Laboratory; Perry Meyer, Pacific Northwest National Laboratory; Beric Wells, Pacific Northwest National Laboratory; James Fort, Pacific Northwest National Laboratory; Judith Bamberger, Pacific Northwest National Laboratory; William Kuhn, Pacific Northwest National Laboratory
    11:50 AM   Prediction-Based Model SelectionAdam L. Pintar, Iowa State University; Christine Anderson-Cook, Los Alamos National Laboratory; Huaiqing Wu, Iowa State University
    12:05 PM   Simple Linear Regression When Both Variables Are RandomChristopher Tong, Merck & Co., Inc.; Shubing Wang, Merck & Co., Inc.
 

JSM 2009 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 September, 2008