SUNS (Sensitivity and Uncertainty Analysis Shell) is a 32-bit application that runs under Windows 95/98 and Windows NT. It is designed to aid in statistical analyses for a broad range of applications. The class of problems for which SUNS is suitable is generally defined by two requirements: 1. A computer code is developed or acquired that models some processes for which input is uncertain and the user is interested in statistical analysis of the output of that code. 2. The statistical analysis of interest can be accomplished using the Monte Carlo analysis. The implementation then requires that the user identify which input to the process model is to be manipulated for statistical analysis. With this information, the changes required to loosely couple SUNS with the process model can be completed. SUNS is then used to generate the required statistical sample and the user-supplied process model analyses the sample. The SUNS post processor displays statistical results from any existing file that contains sampled input and output values.
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Campbell, James E., Thompson, Brune M., Longsine, Dennis E., and O'Connell, Patrick A. Sensitivity and Uncertainty Analysis Shell.
Computer software. Vers. 00. DOE/DP. 20 Apr. 1999.
Web.
Campbell, James E., Thompson, Brune M., Longsine, Dennis E., & O'Connell, Patrick A. (1999, April 20). Sensitivity and Uncertainty Analysis Shell (Version 00) [Computer software].
Campbell, James E., Thompson, Brune M., Longsine, Dennis E., and O'Connell, Patrick A. Sensitivity and Uncertainty Analysis Shell.
Computer software. Version 00. April 20, 1999.
@misc{osti_1230477,
title = {Sensitivity and Uncertainty Analysis Shell, Version 00},
author = {Campbell, James E. and Thompson, Brune M. and Longsine, Dennis E. and O'Connell, Patrick A.},
abstractNote = {SUNS (Sensitivity and Uncertainty Analysis Shell) is a 32-bit application that runs under Windows 95/98 and Windows NT. It is designed to aid in statistical analyses for a broad range of applications. The class of problems for which SUNS is suitable is generally defined by two requirements: 1. A computer code is developed or acquired that models some processes for which input is uncertain and the user is interested in statistical analysis of the output of that code. 2. The statistical analysis of interest can be accomplished using the Monte Carlo analysis. The implementation then requires that the user identify which input to the process model is to be manipulated for statistical analysis. With this information, the changes required to loosely couple SUNS with the process model can be completed. SUNS is then used to generate the required statistical sample and the user-supplied process model analyses the sample. The SUNS post processor displays statistical results from any existing file that contains sampled input and output values.},
doi = {},
url = {https://www.osti.gov/biblio/1230477},
year = {Tue Apr 20 00:00:00 EDT 1999},
month = {Tue Apr 20 00:00:00 EDT 1999},
note =
}
