监测高维高频数据流：非参数方法

IF 2.3 2区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality Technology and Quantitative Management Pub Date : 2024-05-29 DOI:10.1080/16843703.2024.2356970

Zhiqiong Wang, Xin Li, Ying Wang, Yanhui Ma, Li Xue

引用次数: 0

摘要

随着数据采集技术的普及，高维和高频数据流（HHDS）已变得非常普遍。由于高维高频数据流（HHDS）具有高维度、高频率、高密度等特点，因此在数据采集技术的发展过程中，高维高频数据流（HHDS）的应用也变得越来越广泛。

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

Monitoring of high-dimensional and high-frequency data streams: A nonparametric approach

High-dimensional and high-frequency data streams (HHDS) have become widely available with the prevalence of data-acquisition technologies. Because HHDS have the characteristics of high dimensionali...

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

Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

5.10

自引率

21.40%

发文量

审稿时长

>12 weeks

期刊介绍： Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.