In this study, we introduce a new model called the Extended Exponentiated Power
Lindley distribution which extends the Lindley distribution and has increasing, bathtub and
upside down shapes for the hazard rate function. It also includes the power Lindley distribution
as a special case. Several statistical properties of the distribution are explored, such as the
density, hazard rate, survival, quantile functions, and moments. Estimation using the maximum
likelihood method and inference on a random sample from this distribution are investigated. A
simulation study is performed to compare the performance of the different parameter estimates
in terms of bias and mean square error. We apply a real data set to illustrate the applicability
of the new model. Empirical findings show that proposed model provides better fits than other
well-known extensions of Lindley distributions.