I have a set of data $\{x_i,y_i\}$ that came from my measurement, so each of them has some uncertainty. I wonder is there a method to fit them using a model (like Gaussian), while taking care of those uncertainties? In my previous experience on the least-squares fit, I only used the data and didn't take uncertainties in measurement into account. Thanks:)
2026-04-06 09:50:50.1775469050
Least square fit for data with uncertainty
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