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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter
74
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Sun, 8/2/09, 4:00 PM - 5:50 PM | CC-141 |
| Applications and Case Studies - Contributed - Papers | ||
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Section on Physical and Engineering Sciences, Section on Quality and Productivity, Section on Quality and Productivity |
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| Chair(s): Jennifer Van Mullekom, DuPont | ||
| 4:05 PM |
Stochastic Analysis and Characterization of Roller Measurement Values in a Test Bed —  Daniel Heersink, Colorado School of Mines
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| 4:20 PM |
Using Haar Wavelets and Order Recurrence Plots (ORPs) to Statistically Assess Gait Fatigue — Kristin D. Morgan, Virginia Commonwealth University; Carolyn B. Morgan, Hampton University; Peter Pidcoe, Virginia Commonwealth University; Morris H. Morgan, Hampton University
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| 4:35 PM |
Testing the Equality of Regression Coefficients Under Multicollinearity — Fransell C. Riley, The University of Texas at Arlington; Chien-Pai Han, The University of Texas at Arlington
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| 4:50 PM |
Inference and Diagnostics in Nonlinear Structural Equation Models with Applications in Neuroimaging — Klaus K. Holst, University of Copenhagen; Esben Budtz-Jørgensen, University of Copenhagen
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| 5:05 PM |
Optimal Monitoring Design for Computer Network Traffic — Joel Vaughan, University of Michigan; George Michailidis, University of Michigan; Stilian Stoev, University of Michigan
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| 5:20 PM |
A Bayesian Model for Assessment of Sulfur in Diesel Fuel at Ultra-Low Levels — William F. Guthrie, National Institute of Standards and Technology; W. Robert Kelly, National Institute of Standards and Technology
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| 5:35 PM |
A Risk-Adjusted O-E CUSUM with a V-Mask for Monitoring Medical Outcomes — Rena Jie Sun, University of Michigan; John D. Kalbfleisch, University of Michigan
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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. |