Fitting program for linear regressions according to Mahon (1996)
Abstract
This program takes the users' Input data and fits a linear regression to it using the prescription presented by Mahon (1996). Compared to the commonly used York fit, this method has the correct prescription for measurement error propagation. This software should facilitate the proper fitting of measurements with a simple Interface.
- Developers:
-
- LLNL
- Release Date:
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
- Python 2.7 (100%)
- Licenses:
- GNU General Public License v2.0
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 45584
- Site Accession Number:
- LLNL-CODE-745740; 7811
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Trappitsch, Reto G., and USDOE National Nuclear Security Administration. Fitting program for linear regressions according to Mahon (1996).
Computer software. https://www.osti.gov//servlets/purl/1420089. USDOE National Nuclear Security Administration (NNSA). 9 Jan. 2018.
Web. doi:10.11578/dc.20201001.55.
Trappitsch, Reto G., & USDOE National Nuclear Security Administration. (2018, January 9). Fitting program for linear regressions according to Mahon (1996) [Computer software]. https://www.osti.gov//servlets/purl/1420089. https://doi.org/10.11578/dc.20201001.55
Trappitsch, Reto G., and USDOE National Nuclear Security Administration. Fitting program for linear regressions according to Mahon (1996).
Computer software. January 9, 2018. https://www.osti.gov//servlets/purl/1420089. doi:https://doi.org/10.11578/dc.20201001.55.
@misc{osti_1420089,
title = {Fitting program for linear regressions according to Mahon (1996)},
author = {Trappitsch, Reto G. and USDOE National Nuclear Security Administration},
abstractNote = {This program takes the users' Input data and fits a linear regression to it using the prescription presented by Mahon (1996). Compared to the commonly used York fit, this method has the correct prescription for measurement error propagation. This software should facilitate the proper fitting of measurements with a simple Interface.},
url = {https://www.osti.gov//servlets/purl/1420089},
doi = {10.11578/dc.20201001.55},
url = {https://www.osti.gov/biblio/1420089},
year = {Tue Jan 09 00:00:00 EST 2018},
month = {Tue Jan 09 00:00:00 EST 2018},
note =
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.