Estimation and Prediction for Pareto Distribution under Type-II Progressive Hybrid Censoring Scheme
In this paper, the maximum likelihood and Bayesian
estimation are developed based on Type-II progressive hybrid
censoring scheme from the Pareto distribution. One and twosample Bayesian prediction is also discussed using Type-II
progressive hybrid censoring scheme. Finally, numerical
example is presented for illustrating all the inferential
procedures developed here.
The procedure of selecting the values of hyper-parameters for prior distributions in Bayesian estimate has produced many problems and has drawn the attention of many authors, therefore the…
By observing the failure behavior of the recorded survival data, we aim to compare the different processing approaches or the effectiveness of the devices or systems applied in this nonparametric…
In the lifetime and reliability experiments, the censored samples play a fundamental and important role in order to control time and cost. The researchers developed the censored sample schemes to…