  Global 21cm cosmology aims to investigate the cosmic dawn and epoch of
reionisation by measuring the sky averaged HI absorption signal, which
requires, accurate modelling of, or correction for, the bright radio
foregrounds and distortions arising from chromaticity of the antenna beam. We
investigate the effect of improving foreground modelling by fitting data sets
from many observation times simultaneously in a single Bayesian analysis,
fitting for the same parameter set by performing these fits on simulated data.
We find that for a hexagonal dipole antenna, this simultaneous fitting produces
a significant improvement in the accuracy of the recovered 21cm signal,
relative to fitting a time average of the data. Furthermore, the recovered
models of the foreground are also seen to become more accurate by up to a
factor of $\sim$2-3 relative to time averaged fitting. For a less chromatic log
spiral antenna, no significant improvement in signal recovery was found by this
process. However, the modelling of the foregrounds was still significantly
improved. We also investigate extending this technique to fit multiple data
sets from different antennae simultaneously for the same parameters. This is
also found to improve both 21cm signal and foreground modelling, to a higher
degree than fitting data set from multiple times from the same antenna.
