In this paper, we intend to focus on the estimation of the parameter of the ZLindley distribution based on Type II censored data. The maximum likelihood and Bayesian approaches are employed. The importance sampling technique is implemented to approximate the Bayesian estimate of the parameter under the squared error loss function. The interval estimation is also considered. A simulation study is presented to assess the estimation methods discussed in this paper.
