In this article, we introduced the truncated versions (lower, upper and double) of xgamma distribution (Sen et
al. 2016). In particular, different structural and distributional properties such as moments, popular entropy measures, order
statistics and survival characteristics of the upper truncated xgamma distribution are discussed in detail. We briefly describe
different estimation methods, namely the maximum likelihood, ordinary least squares, weighted least square and L-Moments.
Monte Carlo simulation experiments are performed for comparing the performances of the proposed methods of estimation
for both small and large samples under the lower, upper and double versions. Two applications are provided, the first one
comparing estimation methods and the other for illustrating the applicability of the new model.