  Meta distributions (MDs) are refined performance metrics in wireless networks
modeled using point processes. While there is no known method to directly
calculate MDs, the moments of the underlying conditional distributions (given
the point process) can often be expressed in exact analytical form. The problem
of finding the MD given the moments has several solutions, but the standard
approaches are inefficient and sensitive to the choices of a number of
parameters. Here we propose and explore the use of a method based on binomial
mixtures, which has several key advantages over other methods, since it is
based on a simple linear transform of the moments.
