The Impact of Application of the Jackknife to the Sample Median

The Impact of Application of the Jackknife to the Sample Median
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应用刀切法对样本中位数的影响

DOI:
10.1080/00031305.2020.1869090
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发表时间:
2021
期刊:
The American Statistician
影响因子:
--
通讯作者:
Kolassa, John E.
Kolassa, John E.
中科院分区:
--
文献类型:
--
作者:
Yang, Jianning;Kolassa, John E.

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折叠刀是一种可靠的工具,可以减少各种估算器的偏差。本说明表明,即使是这样的多功能工具,即使在相对简单的情况下也可能会违反规律性条件,因此在使用时需要谨慎。特别是,我们表明,折刀法不能为样本中位数的偏差减少提供预期的可靠性,因为当样本大小在偶数和奇数样本大小之间移动时,样本中位数的行为会发生细微的变化。这些考虑因素是在 MS 级别非参数课程的课堂讨论中产生的。
The jackknife is a reliable tool for reducing the bias of a wide range of estimators. This note demonstrates that even such versatile tools have regularity conditions that can be violated even in relatively simple cases, and that caution needs to be exercised in their use. In particular, we show that the jackknife does not provide the expected reliability for bias-reduction for the sample median, because of subtle changes in behavior of the sample median as one moves between even and odd sample sizes. These considerations arose out of class discussions in a MS-level nonparametrics course.
一个真实的例子,展示了自举偏差校正的有趣特性
DOI: --
发表时间: 2003
期刊:
影响因子: --
作者:
Daniel R. Jeske;A. Sampath
通讯作者: A. Sampath