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Keyword Search Criteria: energy returned 21 record(s)
Sunday, 07/30/2017
I Ran a Nonresponse Follow-Up Survey; Now What Do I Do?
Phillip Kott, RTI


Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives
David Van Dyk, Imperial College London; Sara Algeri, Imperial College London; Jan Conrad, University of Stockholm


Very High Energy Particle-Beam and Gamma Radiation Exposure and Familial Relatedness in Mice
Mark P Little, National Cancer Institute; Pavel Chernyavskiy, National Cancer Institute; Elijah Edmondson, Frederick National Laboratory for Cancer Research; Michael Weil, Colorado State University
3:05 PM

Monday, 07/31/2017
Accounting for Data Collection Mode in Hot Deck Imputation
Jiantong Wang, RTI International; Peter Frechtel, RTI International; Amang Sukasih, RTI International; David Kinyon, U.S. Energy Information Administration


Evaluating the Impact of Imputation on RECs Data
Sarrynna Sou, RTI International; Peter Frechtel, RTI International; Amang Sukasih, RTI International; Katie Lewis, U.S. Energy Information Administration; James Berry, U.S. Energy Information Administration; Victoria Scott, RTI International


Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction
Simon Mak, Georgia Institute of Technology; V. Roshan Joseph, Georgia Institute of Technology


Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS
Jay Olsen, EIA Dept of Energy


Household Energy Expenditure and Consumption Patterns in the United States
Joyance Meechai


Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College


Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction
Simon Mak, Georgia Institute of Technology; V. Roshan Joseph, Georgia Institute of Technology
8:45 AM

Assessing the Impact of Adopting a Mixed-Mode Design: Examining Respondent Skip Logic Errors in the 2015 Residential Energy Consumption Survey
Kevin Adams, RTI International; Peter Frechtel, RTI International; Amang Sukasih, RTI International
9:20 AM

Energy Expenditure Patterns in the United States
Joyance Meechai
9:20 AM

Weighting Mixed Mode Data for the 2015 Residential Energy Consumption Survey (RECS)
Patrick Chen, RTI International; Shaofen Grace Deng, U.S. Energy Information Administration; Neeraja Sathe, RTI International; Lanting Dai, RTI International; Rachel Harter, RTI International; Phillip Kott, RTI
9:35 AM

Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College
9:40 AM

Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS
Jay Olsen, EIA Dept of Energy
10:50 AM

Statistical Compression of Wind Speed Data
Felipe Tagle, Newcastle University; Stefano Castruccio, Newcastle University; Marc G. Genton, KAUST; Paola Crippa, Newcastle University
11:35 AM

Exploring the Effectiveness of Indirect Questioning in Reducing Social Desirability Bias
Ashley Clark, Indiana University; Derek Wietelman, Indiana University; Naveed Paydar, Grid Alternatives; John Rupp, Indiana University; John D. Graham, Indiana University
2:35 PM

Wednesday, 08/02/2017
Bayesian Modeling of Uncertainties in End-Use Electricity Consumption Amounts Inferences
Hiroaki Minato, U. S. Energy Information Administration (EIA)
11:50 AM

Thursday, 08/03/2017
Determinants of Household Use of Energy Star Appliances
Behjat Hojjati, U.S. Energy Information Administration
9:15 AM

Deriving Estimates for the Energy Consumption of U.S. Residential Space Conditioning Using Seasonal Datasets
William Lawson, U.S. Energy Information Administration (EIA)
9:35 AM

Spatial Time Series Classification with Applications to Wind Energy
Laurie Tupper, Williams College; David S Matteson, Cornell University; C. Lindsay Anderson, Cornell University
11:50 AM

 
 
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