Statistical Analysis Based on Adaptive Progressive Hybrid Censored Data From Lomax Distribution

In this article, we consider statistical inferences about the unknown parameters of Lomax distribution basedon Adaptive Type-II Progressive Hybrid censoring scheme, scheme can save both total test time and cost induced by failure units increases efficiency analysis. The estimation is derived using maximum likelihood (MLE) Bayesian procedures. estimators are obtained based on symmetric asymmetric loss functions. There no explicit forms for estimators, therefore, propose Lindley’s approximation method to compute estimators. A comparison between these provided extensive simulation. real-life data example illustrate our proposed