  The unit-Lindley distribution was recently introduced in the literature as a
viable alternative to the Beta and the Kumaraswamy distributions with support
in (0; 1). This distribution enjoys many virtuous properties over the named
distributions. In this article, we address the issue of parameter estimation
from a Bayesian perspective and study relative performance of different
estimators through extensive simulation studies. Significant emphasis is given
to the estimation of stress-strength reliability employing classical as well as
Bayesian approach. A non-trivial useful application in the public health domain
is presented proposing a simple metric of discrepancy.
