Using three methods to investigate time-scaling properties in air pollution indexes time series

DOI10.1016/J.NONRWA.2007.06.003zbMath1135.62398OpenAlexW1974798721MaRDI QIDQ924623

Kai Shi, Chun-Qiong Liu, Xiao-Hong Zhang, Nan-Shan Ai

Publication date: 16 May 2008

Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nonrwa.2007.06.003

zbMATH Keywords

persistencespectral analysisdetrended fluctuation analysisrescaled range analysisscale-invariancepollution index

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Inference from stochastic processes and spectral analysis (62M15)

Uses Software

• longmemo

Cites Work

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• Self-affine time series: Measures of weak and strong persistence.
• Time-scaling properties of the Umbria-Marche 1997--1998 seismic crisis, investigated by the detrended fluctuation analysis of interevent time series

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