A Robust Approach to Quantifying Forecasting Uncertainty Using Proxy Simulations
- Authors:
-
- Los Alamos National Laboratory
- Universite de Franche-Comte
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1254991
- Report Number(s):
- LA-UR-16-23755
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Conference
- Resource Relation:
- Conference: V&V Symposium ; 2016-05-18 - 2016-05-20 ; Las Vegas, Nevada, United States
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Van Buren, Kendra Lu, Cogan, Scott, and Hemez, Francois M. A Robust Approach to Quantifying Forecasting Uncertainty Using Proxy Simulations. United States: N. p., 2016.
Web.
Van Buren, Kendra Lu, Cogan, Scott, & Hemez, Francois M. A Robust Approach to Quantifying Forecasting Uncertainty Using Proxy Simulations. United States.
Van Buren, Kendra Lu, Cogan, Scott, and Hemez, Francois M. 2016.
"A Robust Approach to Quantifying Forecasting Uncertainty Using Proxy Simulations". United States. https://www.osti.gov/servlets/purl/1254991.
@article{osti_1254991,
title = {A Robust Approach to Quantifying Forecasting Uncertainty Using Proxy Simulations},
author = {Van Buren, Kendra Lu and Cogan, Scott and Hemez, Francois M.},
abstractNote = {},
doi = {},
url = {https://www.osti.gov/biblio/1254991},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 27 00:00:00 EDT 2016},
month = {Fri May 27 00:00:00 EDT 2016}
}
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