International Journal of Nonlinear Analysis and Applications، جلد ۱۲، شماره ۱، صفحات ۴۹۳-۵۰۷
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عنوان انگلیسی An overview of Bayesian prediction of future record statistics using upper record ranked set sampling scheme
چکیده انگلیسی مقاله Two sample prediction is considered for a one-parameter exponential distribution‎. ‎In practical experiments using sampling methods based on different schemes‎ ‎is crucial‎. This paper addresses the problem of Bayesian prediction of record values from a future sequence‎, ‎based on an upper record ranked set sampling scheme‎. First‎, ‎under an upper record ranked set sample (RRSS) and different values of hyperparameters‎, ‎point predictions have been studied with respect to both symmetric and asymmetric loss functions‎. ‎These predictors are compared in the sense of their mean squared prediction errors‎. ‎Next‎, we have derived two prediction intervals for future record values‎. ‎Prediction intervals are compared in terms of coverage probability and expected length‎. ‎Finally‎, a simulation study is performed to compare the performances of the predictors‎. ‎The real data set is also analyzed for an illustration of the findings.‎
کلیدواژه‌های انگلیسی مقاله record values, Prediction, Mean squared prediction error, Loss function, Coverage probability, Record ranked set sampling scheme
نویسندگان مقاله Ehsan Golzade Gervi |
Department of Statistics, University of Payame Noor, 19395-4697 Tehran, Iran

Parviz Nasiri |
Department of Statistics‎, ‎University of Payame Noor‎, ‎19395-4697 Tehran‎, ‎Iran

Mahdi Salehi |
Department of Mathematics and Statistics, University of Neyshabur, Neyshabur, Iran

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_4828_b2b58b6f5a8b3db4b117ecbaef378d92.pdf
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