We propose a new class of continuous distributions with two
extra shape parameters named the Odd Log-Logistic Poisson-G family.
Some of its mathematical properties including moments, quantile, generating functions and order statistics are obtained. We estimate the
model parameters by the maximum likelihood method and present a
Monte Carlo simulation study. The importance of the proposed family
is demonstrated by means of three real data applications. Empirical
results indicate that proposed family provides better fits than other
well-known classes of distributions in real applications