An effective method of monitoring the large-scale traffic pattern based on RMT and PCA

DOI10.1155/2010/375942zbMath1200.90047OpenAlexW2036082873WikidataQ58652658 ScholiaQ58652658MaRDI QIDQ609702

Xuetao Du, Peng Gao, Jian Yuan, Jia Liu

Publication date: 1 December 2010

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/228052

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Traffic problems in operations research (90B20)

Related Items (1)

Feature selection method based on partial least squares and analysis of traditional Chinese medicine data

Cites Work

• Computational aspects of algorithms for variable selection in the context of principal components
• Principal component analysis.
• Statistical Theory of the Energy Levels of Complex Systems. I
• Principal Variables
• Unnamed Item

This page was built for publication: An effective method of monitoring the large-scale traffic pattern based on RMT and PCA