  This work provides a survey of the general class of distributions generated
from the mixture of the beta random variables. We provide an extensive review
of the literature, concerning generating new distributions via the inverse CDF
transformation. In particular, we accounted for beta generated and Kumaraswamy
generated families of distributions. We provide a brief summary of each of
their families of distributions. We also propose a new asymmetric mixture
distribution, which is an alternative to beta generated distributions. We
provide basic properties of this new class of distributions generated from the
Laplace model. We also address the issue of parameter estimation of this new
skew generalized Laplace model.
