TY - JOUR
TI - Statistical inference of type-I hybrid censored inverse Lomax samples
AU - Almuhayfith Fatimah E
AU - Al-Bossly Afrah
JN - Thermal Science
PY - 2022
VL - 26
IS - 101
SP - 339
EP - 351
PT - Article
AB - In this article, we adopted the classical and Bayesian approach to develop  the problem of estimation and prediction of the inverse Lomax distribution  under Type-I hybrid censored scheme. Firstly, we presented maximum  likelihood estimators and Bayes estimators of the unknown parameters under  consideration of squared error loss equation. In Bayesian approach, we used  Markov chain Monte-Carlo method by applied importance sampling technique.  Asymptotic confidence intervals and Bayes credible intervals are  constructed. The estimators are tested by building sim­ulation study.  Secondly, For given Type-I hybrid censoring sample Bayesian prediction of  future order statistics are formulated (two-sample case). Finally, the  numerical computations are adopted on a real data set for illustrating  purpose.