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Title: Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0

Abstract

R code that performs the analysis of a data set presented in the paper ‘Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications’ by Lewis, J., Zhang, A., Anderson-Cook, C. It provides functions for doing inverse predictions in this setting using several different statistical methods. The data set is a publicly available data set from a historical Plutonium production experiment.

Authors:
 [1]
  1. Sandia National Laboratories
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1431202
Report Number(s):
LMSMIPNFA; 005654MLTPL00
SCR#2236
DOE Contract Number:  
NA0003525
Resource Type:
Software
Software Revision:
00
Software Package Number:
005654
Software CPU:
MLTPL
Open Source:
Yes
Unlimited - Open Source
Source Code Available:
Yes
Country of Publication:
United States

Citation Formats

Lewis, John R. Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0. Computer software. https://www.osti.gov//servlets/purl/1431202. Vers. 00. USDOE. 19 Mar. 2018. Web.
Lewis, John R. (2018, March 19). Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0 (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1431202.
Lewis, John R. Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0. Computer software. Version 00. March 19, 2018. https://www.osti.gov//servlets/purl/1431202.
@misc{osti_1431202,
title = {Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0, Version 00},
author = {Lewis, John R},
abstractNote = {R code that performs the analysis of a data set presented in the paper ‘Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications’ by Lewis, J., Zhang, A., Anderson-Cook, C. It provides functions for doing inverse predictions in this setting using several different statistical methods. The data set is a publicly available data set from a historical Plutonium production experiment.},
url = {https://www.osti.gov//servlets/purl/1431202},
doi = {},
year = {2018},
month = {3},
note =
}