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We made an analysis of uncertainty propagation in parameter estimation when the cost function minimization leads to a set of non-linear equations. In our study, which concerns an uncertainty-propagation law independent of any specific minimization algorithm, we review the relationship between the Hessian of the cost function and the estimate uncertainty, as well as the reasons supporting their identification. We show that the uncertainty expressed on this basis could lead to accuracy overestimation.

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