@moneta Assume the “landau” and / or “landaun” are fitted to some data. One then gets their (“best fit”) parameters’ values ("constant", “mu”, and “sigma”) and their parameters’ errors. One can easily calculate “mpv = func.GetMaximumX()” with an almost arbitrary “accuracy”. The interesting question is if one can calculate the “mpv” error from the fitted parameters’ errors (and values).
Hi,
In this case I am expecting that the uncertainty on mpv willl be very similar to the one on mu. However, one could check this running many toys MC experiments, i.e regenerating many data sets, fit them and see the obtained distribution on the mpv values.
Cheers
Lorenzo
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