مشخصات پژوهش

عنوان	Prediction for future failures in Weibull distribution under hybrid censoring
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	hybrid censoring; Weibull distribution; predictor; prediction interval; Monte Carlo simulation
چکیده	In this paper, we consider the prediction of a future observation based on a type-I hybrid censored sample when the lifetime distribution of experimental units is assumed to be a Weibull random variable. Different classical and Bayesian point predictors are obtained. Bayesian predictors are obtained using squared error and linear-exponential loss functions. We also provide a simulation consistent method for computing Bayesian prediction intervals. Monte Carlo simulations are performed to compare the performances of the different methods, and one data analysis has been presented for illustrative purposes
پژوهشگران	دبا سیس کوندو (نفر سوم)، رضا ولی اللهی (نفر دوم)، اکبر اصغر زاده (نفر اول)