  In this work, we deal with approximations for distribution functions of
non-negative random variables. More specifically, we construct continuous
approximants using an acceleration technique over a well-know inversion formula
for Laplace transforms. We give uniform error bounds using a representation of
these approximations in terms of gamma-type operators. We apply our results to
certain mixtures of Erlang distributions which contain the class of continuous
phase-type distributions.
