Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| 376 | Tue, 8/6/2013, 10:30 AM - 12:20 PM | CC-220bc | |
| Contributed Oral Poster Presentations: Section on Statistical Computing — Contributed Poster Presentations | |||
| Section on Statistical Computing | |||
| Chair(s): Joyee Ghosh, The University of Iowa | |||
| 32: | Using Factor Analysis and Quantitative Content Analysis to Detect Themes in Media Texts: A Comparison of Pre- and Post-9/11 Song Lyrics — Brenda Osuna, University of Southern California ; Reagan Rose, University of Southern California | ||
| 33: | Restricted Scheffe Method Using Minimal Cone Approach in Multiple Comparisons — Yimin Zhang, Oklahoma State University ; Melinda McCann, Oklahoma State University | ||
| 35: | Introductory Statistics: Alternate Sequence Etext — John G. Gabrosek, Grand Valley State University ; Paul Stephenson, Grand Valley State University | ||
| 36: | Reconstruction of Biological Networks Using Differential Equation Models — James Henderson, University of Michigan | ||
| 37: | PERFORMANCE OF SOME TESTS COMPARES FOR EQUALITY OF MEANS IN SKEWED DISTRIBUTION DATA — Evren Ozkip ; Ahmet Sezer, Anadolu University ; Berna Yazici, Anadolu University | ||
| 38: | Evaluation of a Survey Using Ordinal Logistic Regression — Berna Yazici, Anadolu University ; Ozlem Alpu, Eskisehir Osmangazi University ; Ozlem Oktal, Anadolu University ; Zerrin Sungur, Anadolu University | ||
| 39: | Independent Approximate Draws from High-Dimensional Intractable Probability Distributions — Andrew Olsen, The Ohio State University ; Radu Herbei, The Ohio State University | ||
| 40: | Modeling Overdispersion in Binomial Data with Regression Linked to a Finite Mixture Probability of Success — Andrew Raim, University of Maryland, Baltimore County ; Nagaraj Neerchal, University of Maryland, Baltimore County | ||
| 41: | Similar Items for New Shops — A. Santos, Etsy | ||
| 43: | Comparison of One-Sided Tolerance Limits in Random Effects — Jie Peng, St. Ambrose University ; Kalimuthu Krishnamoorthy, University of Louisiana at Lafayette | ||
| 44: | Bootstrapping Time Series Data — Maher Qumsiyeh, University of Dayton ; Robert Deis, University of Dayton | ||
| 45: | Generalized P-Value in Regression Analysis — Seray Mankir, Anadolu Un. Science Faculty ; Berna Yazici, Anadolu University | ||
| 46: | Quantile Regression Using a General Class of Probability Distributions — Fassil Nebebe, Concordia University ; Tak Mak, Concordia University | ||
| 47: | An R Framework for Simulation Experiments — David C. Cooper, GlaxoSmithKline | ||
| 48: | Markov Chain Monte Carlo with Linchpin Variables — Felipe Acosta Archila, University of Minnesota ; Galin Jones, University of Minnesota | ||
| 49: | Comparison of Bootstrapping Method with the Delta Method for Estimating Standard Errors of Relative Risks in the Assessment of Pneumococcal Serotype Replacement — Abanti Sanyal ; Richard E Thompson, Johns Hopkins University ; Milo A. Puhan, Johns Hopkins University ; Eunice W. Kagucia, Johns Hopkins University ; Daniel R. Feikin, Johns Hopkins University | ||
| 51: | Monte Carlo Maximum Likelihood for the Two-Stage Hierarchical Model — Christina Knudson, University of Minnesota | ||
2013 JSM Online Program Home
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