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.

Document Type

Peer-Reviewed Article

Publication Date

2018-09-01

Language

English

College

Physical and Mathematical Sciences

Department

Physics and Astronomy

University Standing at Time of Publication

Full Professor

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