  Here, we introduce a new class of Lindley generated distributions which
results in more flexible model with increasing failure rate (IFR), decreasing
failure rate(DFR) and up-side down hazard functions for different choices of
parametric values. We explore, various distributional properties including
limiting distribution of extreme order statistics explored. Maximum likelihood
estimators and the confidence intervals of the parameters are obtained. The
applicability of the proposed distribution is shown through modelling two sets
of real data on bladder cancer patients and waiting time in a queue. Further,
we carry out stress-strength analysis for applying the model in system
reliability studies.
