优化收紧 KWW 联合置信区的排序

IF 0.9 4区数学 Q3 STATISTICS & PROBABILITY

Statistics & Probability Letters Pub Date : 2024-10-30 DOI:10.1016/j.spl.2024.110288

Tommy Wright

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引用次数: 0

摘要

Klein、Wright 和 Wieczorek（2020 年）（以下简称 KWW）利用 K 种群真实排名的联合置信区域，为估计排名构建了一个简单的新型不确定性度量。在本文中，我们提出的框架允许通过在 K 个种群中优化样本分配，对估计排名各部分的不确定性和严密性进行一定程度的控制。

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Optimal tightening of the KWW joint confidence region for a ranking

Klein, Wright, and Wieczorek (2020), hereafter KWW, constructs a simple novel measure of uncertainty for an estimated ranking using a joint confidence region for the true ranking of

K

populations. In this current paper, our proposed framework permits some control over the amount of uncertainty and tightness in various portions of the estimated ranking with an optimal allocation of sample among the

K

populations.

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来源期刊

Statistics & Probability Letters 数学-统计学与概率论

CiteScore

1.60

自引率

0.00%

发文量

173

审稿时长

6 months

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