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CC = Baltimore Convention Center,    H = Hilton Baltimore
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Activity Details

615 * Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-316
Bayesian Methods for Complex Survey Designs and Data — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Nathan Cruze, USDA-NASS
Chair(s): Linda J. Young, USDA National Agricultural Statistics Service
8:35 AM Imputation of Ordinal Data in the Agricultural Resource Management Survey Using Bayesian Methods Christopher Burns, USDA-Economic Research Service ; Sujit K Ghosh, North Carolina State University ; Daniel Prager, USDA-Economic Research Service ; Li Zhang, George Mason University
8:55 AM Bayesian Analysis of Survey Data with Sampling Weights Luis Leon Novelo, University of Texas-Health Science Center At Houston-School of Public Health ; Terrance Savitsky, U.S. Bureau of Labor Statistics
9:15 AM Bayesian Estimation Under Dependent Informative Sampling Terrance Savitsky, U.S. Bureau of Labor Statistics ; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:35 AM A Model-Based Approach to Crop Yield Forecasting Nathan Cruze, USDA-NASS ; Habtamu Benecha, USDA National Agricultural Statistics Service
9:55 AM Exploring New Estimation Techniques for the Monthly Wholesale Trade Survey Joanna Lineback, U.S. Census Bureau ; Martin Klein, U.S. Census Bureau ; Schafer Joseph, U.S. Census Bureau
10:15 AM Floor Discussion
 
 
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