Linear fit with both uncertainties in x and in y

Version 1.2.0.0 (12 KB) by Julien Browaeys
Performs a linear fit with uncertainties in x and y, using a Monte Carlo method
5.0
(13)
2.6K Downloads
Updated 25 Oct 2017

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This tool computes a linear fit when there are uncertainties in x data and y data. The best slope and intercept are computed by minimizing the chi2 calculated using both standard deviation on x and y (Deming fit). Data points are simulated using a Monte Carlo method so as to obtain the error on the fitted parameters.
If error on both x and y is not specified, error is assumed constant on y and computed.
Result of the fit is by default displayed, the best fit and a hull of all the possible fits are drawn.

Cite As

Julien Browaeys (2026). Linear fit with both uncertainties in x and in y (https://www.mathworks.com/matlabcentral/fileexchange/45711-linear-fit-with-both-uncertainties-in-x-and-in-y), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Fit Postprocessing in Help Center and MATLAB Answers
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Version Published Release Notes
1.2.0.0

Correction of an old bug. Now if 'plotting' is set to false, the correct comportement is obtained: no plot is displayed.
1.1.0.0

Added reference to Matlab central in the help.
1.0.0.0