We present a forecast for the upcoming Einstein Telescope (ET) interferometer with two new
methods to infer cosmological parameters. We consider the emission of Gravitational Waves (GWs)
from compact binary coalescences, whose electromagnetic counterpart is missing, namely Dark Sirens
events. Most of the methods used to infer cosmological information from GW observations rely on
the availability of a redshift measurement, usually obtained with the help of external data, such
as galaxy catalogues used to identify the most likely galaxy to host the emission of the observed
GWs. Instead, our approach is based only on the GW survey itself and exploits the information on
the distance of the GW rather than on its redshift. Since a large dataset spanning the whole
distance interval is expected to fully represent the distribution, we applied our methods to the
expected ET's far-reaching measuring capabilities. We simulate a dataset of observations with ET
using the package darksirens, assuming an underlying ΛCDM cosmology, and
including the possibility to choose between three possible Star Formation Rate density (SFR)
models, also accounting for possible population III stars (PopIII). We test two independent
statistical methods: one based on a likelihood approach on the theoretical expectation of observed
events, and another applying the cut-and-count method, a simpler method to compare the
observed number of events with the predicted counts. Both methods are consistent in their final
results, and also show the potential to distinguish an incorrect SFR model from the
data, but not the presence of a possible PopIII. Concerning the cosmological parameters, we find
instead that ET observations by themselves would suffer from strong degeneracies, but have the
potential to significantly contribute to parameter estimation if used in synergy with
other surveys.