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Title: 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:
 [1]
  1. 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 =
}