Some statistical inferences on the upper record of Lomax distribution

In this paper, some inferential properties of the upper record of the Lomax distribution are investigated. The upper record of the Lomax distribution parameters are estimated by using methods, Moment (MME), Maximum Likelihood (MLE), Kullback-Leibler Divergence of the Survival function (DLS) and Baysian. In addition, These methods are compared using Monte-Carlo simulation. Finally, this new model is fitted on the real data and some of the comparative criteria are calculated to confirm the superiority of the proposed model to other models.