Keywords
fit, uncertainty, least squares, linear, nonlinear, Julia data, Jacobian covariance
Abstract
This article review the theory and practice of computing uncertainties in the fit parameters in least squares fits. It shows how to estimate the uncertainties and gives some numerical examples in Julia of their use. Examples are given and validated for both linear and nonlinear fits.
BYU ScholarsArchive Citation
Turley, R. Steven, "Fitting Parameter Uncertainties in Least Squares Fitting" (2018). Faculty Publications. 2236.
https://scholarsarchive.byu.edu/facpub/2236
Document Type
Peer-Reviewed Article
Publication Date
2018-09-01
Permanent URL
http://hdl.lib.byu.edu/1877/5106
Language
English
College
Physical and Mathematical Sciences
Department
Physics and Astronomy
Copyright Use Information
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