In this article, a four-parameter generalization of Lindley distribution is  obtained, with the purpose of obtaining a more flexible model relative to the behavior of hazard rate functions. Various statistical properties such as density , hazard  rate functions, moments, generating function, stochastic ordering, Renyi entropy, distribution of  K^th order statistics has been derived. The method of maximum likelihood estimation has been used to estimation parameters. Further confidence intervals are also obtained. Finally , applicability of the proposed model to the real data is analyzed. A comparison has also been made some existing distributions.