مشخصات پژوهش

عنوان	Prediction Based onType-II Censored Coherent System Lifetime Data under a Proportional Reversed Hazard Rate Model
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Bayesian Predictor, Best Unbiased Predictor, Coherent System, Conditional Median Predictor, Maximum Likelihood Predictor, Prediction Intervals
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. Di erent 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 di erent prediction methods.
پژوهشگران	تونی نک (نفر سوم)، عادله فلاح (نفر اول)، اکبر اصغر زاده (نفر دوم)