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- W2565970010 abstract "In this paper, three prediction intervals of future generalized order statistics (gos) based on generalized extreme value distribution (GEVD) are constructed. For this purpose, three predictive pivotal quantities are considered, and their exact distributions are established. A Monte Carlo simulation study is carried out to explore the eciency of the proposed method. The obtained results are then applied to real data for illustrative purposes. models, e.g., m gos ( n = k; r = k + (n r)(m + 1); r = 1; ;n 1), oos ( n = 1; r = n r + 1; r = 1; ;n 1; i.e., k = 1; mi = 0; i = 1; ;n 1), sos ( n = n; r = (n r + 1) r; r > 0; r = 1; ;n 1), pos with censoring scheme (R1; ;RM ) ( n = RM + 1; r = n r + 1 + PM=r Rj; if r M 1 and" @default.
- W2565970010 created "2017-01-06" @default.
- W2565970010 creator A5028268347 @default.
- W2565970010 date "2015-01-01" @default.
- W2565970010 modified "2023-09-26" @default.
- W2565970010 title "Prediction Intervals of Future Generalized Order Statistics Based on Generalized Extreme Value Distribution" @default.
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