Statistical inference of type-I hybrid censored inverse Lomax samples

In this article, we adopted the classical and Bayesian approach to develop problem of estimation prediction inverse Lomax distribution under Type-I hybrid censored scheme. Firstly, presented maximum likelihood estimators Bayes unknown parameters consideration squared error loss equation. approach, used Markov chain Monte-Carlo method by applied importance sampling technique. Asymptotic confidence intervals credible are constructed. The tested building sim?ulation study. Secondly, For given censoring sample future order statistics formulated (two-sample case). Finally, numerical computations on a real data set for illustrating purpose.