مشخصات پژوهش

عنوان	Prediction for Pareto distribution based on progressively Type-II censored samples
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Progressive Type-II censoring Pareto distribution Best linear unbiased predictor Maximum likelihood predictor Prediction interval Highest conditional density Monte Carlo simulation
چکیده	In this paper, we discuss different predictors of times to failure of units censored in multiple stages in a progressively censored sample from Pareto distribution. The best linear unbiased predictors, maximum likelihood predictors and approximate maximum likelihood predictors are considered. We also present two methods for obtaining prediction intervals for the times to failure of units. A numerical simulation study involving two data sets is presented to illustrate the methods of prediction
پژوهشگران	رضا ولی اللهی (نفر سوم)، اکبر اصغر زاده (نفر دوم)، محمد رکب (نفر اول)