  In this work, we present a method to generate probability distributions and
classes of probability distributions, which broadens a process of probability
distribution construction. In this method, distribution classes are built from
pre-defined monotonic functions and from known distributions. With the use of
this method, we can obtain different classes of probability distributions
described in literature. Beside these results, we could obtain results on the
support and nature of the generated distributions.
