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Title: A Robust Approach to Quantifying Forecasting Uncertainty Using Proxy Simulations

Authors:
 [1];  [2];  [1]
  1. Los Alamos National Laboratory
  2. 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}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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