JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Legend: = Applied Session, = Theme Session, = Presenter
Salt Palace Convention Center = “CC”, Grand America = “GA”

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205 Mon, 7/30/07, 2:00 PM - 3:50 PM CC-155 A
Mixture Models and Expectation Maximization - Contributed - Papers
Section on Statistical Computing, Business and Economics Statistics Section, IMS, Section on Statistical Graphics
Chair(s): David Marchette, Naval Surface Warfare Center
     2:05 PM   Nonparametric Transformation of the Data to Obtain Bias Reduction in Kernel Estimation of the Distribution Function of Nonstandard MixturesEnnis McCune, Stephen F. Austin State University; Sandra L. McCune, Stephen F. Austin State University
     2:20 PM   Fitting Mixture Distributions Using Generalized Lambda Distributions (GLDs): Examples, Comparisons with Normal Mixtures, and Computational ConsiderationsWei Ning, Bowling Green State University; E. J. Dudewicz, Syracuse University
     2:35 PM   Acceleration of the EM Reconstruction Algorithm for PET Images Using Squared Iterative MethodsConstantine E. Frangakis, Johns Hopkins University; Ravi Varadhan, Johns Hopkins University; Christophe Roland, University of Science and Technology at Lille
     2:50 PM   Improving the Efficiency of the Monte Carlo EM Algorithm Using Squared Iterative MethodsRavi Varadhan, Johns Hopkins University; Brian S. Caffo, Johns Hopkins Bloomberg School of Public Health; Wolfgang Jank, University of Maryland
     3:05 PM   Generalized t-Copula and Its Application on BiometricWenmei Huang, Michigan State University; Sarat Dass, Michigan State University
     3:20 PM   Comparison of the Six Sigma and Lean Sigma on the IT Management ProcessesGenady Grabarnik, IBM T.J. Watson Research Center; Larisa Shwartz, IBM T.J. Watson Research Center
     3:35 PM   Floor Discussion
 

JSM 2007 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, 2007