In this article, a discrete analogue of continuous Teissier distribution is presented. Its several important distributional characteristics have been derived. The estimation of the unknown parameter has been done using the method of maximum likelihood and the method of moment. Two real data applications have been presented to show the applicability of the proposed model.

翻译：在本篇文章中,提供了连续的Teissier分布的离散类比,并得出了若干重要的分布特征,使用最大可能性方法和瞬间方法估算了未知参数,并提出了两个实际数据应用,以显示拟议模型的适用性。