Detrending moving-average cross-correlation based principal component analysis of air pollutant time series-Reference-Cited by-同舟云学术

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Detrending moving-average cross-correlation based principal component analysis of air pollutant time series

Published:2023-07 Issue: Volume:172 Page:113558
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Dong Xiaofeng,Fan Qingju,Li Dan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference31 articles.

1. Exploring air pollution characteristics from spatio-temporal perspective: A case study of the top 10 urban agglomerations in China;Han;Environ Res,2023

2. Analysis of air pollution time series using complexity-invariant distance and information measures;Amato;Physica A,2020

3. Multifractal behavior of an air pollutant time series and the relevance to the predictability;Dong;Environ Pollut,2017

4. On lines and planes of closest fit to systems of points in space;Pearson;Phil Mag,1901

5. Analysis of a complex of statistical variables into principal components;Hotellings;J Educ Psychol,1932

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