Mean Estimate Distances for Galaxies with Multiple Estimates in NED-D
  Numerous research topics rely on an improved cosmic distance scale (e.g.,
cosmology, gravitational waves), and the NASA/IPAC Extragalactic Database of
Distances (NED-D) supports those efforts by tabulating multiple
redshift-independent distances for 12,000 galaxies (e.g., Large Magellanic
Cloud (LMC) zero-point). Six methods for securing a mean estimate distance
(MED) from the data are presented (e.g., indicator and Decision Tree). All six
MEDs yield surprisingly consistent distances for the cases examined, including
for the key benchmark LMC and M106 galaxies. The results underscore the utility
of the NED-D MEDs in bolstering the cosmic distance scale and facilitating the
identification of systematic trends.
