Journal of the Iranian Statistical Society

Prediction Based on Type-II Censored Coherent System Lifetime Data under a Proportional Reversed Hazard Rate Model

Authors

1 Department of Statistics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran

2 Department of Statistical Science, Southern Methodist University, Dallas, Texas 75275-0332, USA

10.52547/jirss.20.1.153

Abstract

In this paper, we discuss the prediction problem based on censored coherent system lifetime data when the system structure is known and the component lifetime follows the proportional reversed hazard model. Different point and interval predictors based on classical and Bayesian approaches are derived. A numerical example is presented to illustrate the prediction methods used in this paper. Monte Carlo simulation study is performed to evaluate and compare the performances of different prediction methods.

Keywords

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Journal of the Iranian Statistical Society
Volume 20, Issue 1
June 2021
Pages 153-181
  • Receive Date: 23 July 2022
  • Revise Date: 19 May 2024
  • Accept Date: 23 July 2022