Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections

IF 2.3 2区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality Technology and Quantitative Management Pub Date : 2024-08-26 DOI:10.1080/16843703.2024.2395745

Fuhad Ahmed, Tahir Mahmood, Muhammad Riaz, Nasir Abbas

引用次数: 0

Abstract

High-dimensional data refers to a dataset that contains many variables or features, typically with many more features p than observations n (i.e. n

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高维监测方法综合评述：趋势、见解和相互联系

高维数据是指包含许多变量或特征的数据集，通常特征 p 多于观测值 n（即 n

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.

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