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

نویسندگان
Asgharzadeh, Akbar ID 1
Ng, Hon Keung Tony ID 2
Fallah, Adeleh ID 3

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

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

doi
10.52547/jirss.20.1.153
چکیده

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.

کلیدواژه‌ها
Bayesian Predictor, best unbiased predictor, Coherent System, conditional median predictor, maximum likelihood predictor, Prediction Intervals