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Prediction of order statistics and record values based on ordered ranked set sampling

机译:根据排序的有序集抽样预测订单统计信息和记录值

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In this paper, we consider two-sample prediction problems. First, based on ordered ranked set sampling (ORSS) introduced by Balakrishnan and Li [Ordered ranked set samples and applications to inference. Ann Inst Statist Math. 2006;58:757-777], we obtain prediction intervals for order statistics from a future sample and compare the results with the one based on the usual-order statistics. Next, we construct prediction intervals for record values from a future sequence based on ORSS and compare the results with the one based on an another independent record sequence developed recently by Ahmadi and Balakrishnan [Prediction of order statistics and record values from two independent sequences. Statistics. 2010;44:417-430].
机译:在本文中,我们考虑了两个样本的预测问题。首先,基于Balakrishnan和Li [有序排序集样本及其推论应用]引入的有序排序集抽样(ORSS)。 Ann Inst Statist Math。 2006; 58:757-777],我们从将来的样本中获得订单统计的预测间隔,并将结果与​​基于常规订单统计的结果进行比较。接下来,我们基于ORSS构建来自未来序列的记录值的预测间隔,并将结果与​​基于Ahmadi和Balakrishnan最近开发的另一独立记录序列的结果进行比较[顺序统计的预测和来自两个独立序列的记录值。统计。 2010; 44:417-430]。

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