分布式框架中单个样本均值向量的假设检验

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-03-21 DOI:10.1080/03610918.2024.2329992

Bin Du, Junlong Zhao, Xin Zhang

引用次数: 0

摘要

分布式框架常用于数据存储在 k 台不同的本地机器中，并且由于隐私保护或样本量巨大而无法合并的情况。对于随机矢量，分布式框架是最有效的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Hypothesis testing of one sample mean vector in distributed frameworks

Distributed frameworks are commonly used in the setting where data are stored in k different local machines and cannot be merged due to privacy protections or the huge sample size. For a random vec...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.