Percentile Double Ranked Set Sampling
Percentile Double Ranked Set Sampling
复制标题
百分位数双排名集抽样
DOI：
10.3844/jmssp.2008.60.64
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
K. Jaber
中科院分区：
文献类型：
--
作者：
A. Al;K. Jaber
本文提出用百分位数双秩集抽样（PDRSS）方法估计总体均值。将PDRSS方法与简单随机抽样（SRS）、秩集抽样（RSS）、中位数秩集抽样（MRSS）和极值秩集抽样（ERSS）方法进行了比较。当基本分布是对称的，它证明了PDRSS产生的总体均值的无偏估计，它是更有效的SRS，RSS，MRSS和ERSS基于相同的样本量。对于本研究中考虑的非对称分布，PDRSS具有较小的偏差，并且在本研究中考虑的大多数情况下比RSS，MRSS和ERSS更有效。
In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estimating the population mean. The PDRSS method is compared with the simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and the extreme ranked set sampling (ERSS) methods. When the underlying distribution is symmetric, it turns out that PDRSS produce unbiased estimators of the population mean and it is more efficient than SRS, RSS, MRSS and ERSS based on the same sample size. For asymmetric distribution considered in this study, it is shown that PDRSS has a small bias and it is more efficient than RSS, MRSS and ERSS for most cases considered in this study.