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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204
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Mon, 8/7/06, 2:00 PM - 3:50 PM
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CC-400
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Mixed Models and Data Mining - Contributed - Papers
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Section on Statistical Computing
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Chair(s): Hasan Hamdan, James Madison University
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2:05 PM
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A Comparison of the Reporting of Problems Encountered in the Estimation of Covariance Parameters in Linear Mixed Models Using SAS, SPSS, R, Stata, and HLM —  Brady West, University of Michigan; Kathy Welch, University of Michigan; Andrzej Galecki, University of Michigan
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2:20 PM
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A Note on Testing of Hypothesis of Kroneckar Product Covariance Structure in Doubly Multivariate Data — Anuradha Roy, The University of Texas at San Antonio
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2:35 PM
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On Hierarchical Linear Mixed Modeling Using the Multivariate t Distribution with Missing Information — Tsung-I Lin, National Chung Hsing University; Jack C. Lee, National Chiao Tung University
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2:50 PM
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Automatic Approximation of the Marginal Likelihood in Non-Gaussian Hierarchical Models — Hans J. Skaug, University of Bergen; David A. Fournier, Otter Research Ltd.
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3:05 PM
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Adversarial Learning — Bowei Xi, Purdue University; Murat Kantarcioglu, The University of Texas at Dallas; Chris Clifton, Purdue University
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3:20 PM
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Maximum Entropy Data Camouflaging — Kurt Pflughoeft, Market Probe; Ehsan S. Soofi, University of Wisconsin-Milwaukee; Refik Soyer, The George Washington University
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3:35 PM
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Floor Discussion
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