Flowchart of the radio SED fitting procedure described in Sect. 4.1. The input values are source fluxes, S, and rest-frame frequencies, ν. The log fluxes are then binned in log-rest-frame frequency bins. If there are no upper limits in a certain bin, the mean and standard deviation are calculated immediately, and if that is not the case, the log fluxes are converted into a right-censored dataset, and the Kaplan–Meier estimate is calculated. This estimate is then fit to a Weibull distribution, yielding the analytically determined means and standard deviations. The resulting different bins are then treated as data points with errors in both axes and are fit by a particular model by employing the ODR method.