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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| 195 | Mon, 8/5/2013, 10:30 AM - 12:20 PM | CC-220bc | |
| Contributed Oral Poster Presentations: Section on Statistics and the Environment — Contributed Poster Presentations | |||
| Section on Statistics and the Environment | |||
| Chair(s): Joyee Ghosh, The University of Iowa | |||
| 45: | Maximum Likelihood Estimation of Multivariate Normal Parameters in the Presence of Left-Censored and Missing Data: A Pseudo-Likelihood Approach — Heather Hoffman, George Washington University ; Robert E. Johnson, Vanderbilt University Department of Biostatistics | ||
| 46: | Protozoa Co-Occurrence in Surface Water Sources of Drinking Water — Michael Messner, U.S. Environmental Protection Agency | ||
| 47: | Quantifying Model Error in Posterior Distributions — Staci White, The Ohio State University ; Radu Herbei, The Ohio State University | ||
| 48: | K Distribution Related to Environmental Statistics — Koji Kanefuji, Institute of Statistical Math ; Kosei Iwase, Hokohama College of Pharmacy | ||
| 49: | Predicting the Geographic Distribution of Two Invasive Termite Species in Florida Using a Bayesian Logistic Model for Presence-Only Data — Francesco Tonini ; Fabio Divino, University of Molise ; Giovanna Jona Lasinio, University of Rome, La Sapienza ; Hartwig Hochmair, University of Florida ; Rudolf H. Scheffrahn, University of Florida | ||
| 51: | Modeling Spatial Binary Fields Over Time With Dynamic Markov Random Fields — Kenneth Wakeland, Iowa State University | ||
| 52: | A Nonstationary Spatial Covariance Regression Model — Mark Risser, The Ohio State University ; Catherine A. Calder, Ohio State University | ||
| 53: | Inter-Laboratory Quality Control on Indoor Air Quality Analysis — Guang-Hwa Chang, Youngstown State University | ||
| 54: | Model Averaging Predictions Is Good; Model Averaging Multiple Regression Coefficients Is Bad — Philip Dixon, Iowa State Univ | ||
| 55: | Investigating the Variation in the Annual Progression of Snow Accumulation and Melt in the Sierra Nevada: A Functional Data Analysis Approach — Eduardo Montoya, California State University, Bakersfield ; Wendy Meiring, University of California, Santa Barbara ; Jeff Dozier, University of California, Santa Barbara | ||
| 56: | Detecting Clustering in Inhomogeneous Point Processes with Applications to Duck Nesting Locations — Daniel Fortin, Iowa State University ; Philip Dixon, Iowa State Univ ; William Clark, Iowa State University ; Nicholas Michaud, Iowa State University | ||
| 57: | Statistical Models for Global Phenological Phenomena — Maggie Johnson, Iowa State University ; Petrutza Caragea, Iowa State University | ||
| 58: | Evaluating Radar Reflectivity Measurements as Predictors of Rainfall — Marisa Akers ; Meera Venkataraman, North Carolina State University | ||
| 59: | Spatial Analysis to Predict Minimum Temperature and Initial Spring Freeze in the Southeast United States — Meagan Gentry, NC State University ; Austin John, NC State University | ||
| 60: | Smooth Change-Point Estimation for Spatial Image Intensity Profiles — Joseph Usset, North Carolina State University | ||
| 61: | Fitting an AR(1) Model to Environmental Measurements with Non-Detects — John Rogers | ||
| 62: | Imputation of Missing Data Under a Spatial-Temporal Autologistic Regression Model — Yanbing Zheng, University of Kentucky ; Zilong Wang, University of Kentucky | ||
| 63: | Using Ripley's L-Function to Examine Spatial Clustering in Duck Nests — Nicholas Michaud, Iowa State University ; Philip Dixon, Iowa State Univ ; William Clark, Iowa State University ; Daniel Fortin, Iowa State University ; David Howerter, Ducks Unlimited Canada | ||
| 64: | Diagnostics to Assess Toxicokinetic-Toxicodynamic Models — Xia Xu, Merck Research Laboratories ; Philip Dixon, Iowa State Univ | ||
| 65: | Analysis and Modeling of Major Power Outages in Northeast U.S. — David Trindade, Bloom Energy | ||
2013 JSM Online Program Home
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