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A DFA-based bivariate regression model for estimating the dependence of PM2.5 among neighbouring cities

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成果类型:
期刊论文
作者:
Wang, Fang*;Wang, Lin;Chen, Yuming
通讯作者:
Wang, Fang
作者机构:
[Wang, Fang] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
[Wang, Lin; Wang, Fang] Univ New Brunswick, Dept Math & Stat, Fredericton, NB E3B 5A3, Canada.
[Chen, Yuming] Wilfrid Laurier Univ, Dept Math, Waterloo, ON N2L 3C5, Canada.
通讯机构:
[Wang, Fang] H
[Wang, Fang] U
Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
Univ New Brunswick, Dept Math & Stat, Fredericton, NB E3B 5A3, Canada.
语种:
英文
期刊:
Scientific Reports
ISSN:
2045-2322
年:
2018
卷:
8
期:
1
页码:
7475
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31501227, 11401577]; NSERC of CanadaNatural Sciences and Engineering Research Council of Canada (NSERC)
机构署名:
本校为第一且通讯机构
院系归属:
理学院
摘要:
On the basis of detrended fluctuation analysis (DFA), we propose a new bivariate linear regression model. This new model provides estimators of multi-scale regression coefficients to measure the dependence between variables and corresponding variables of interest with multi-scales. Numerical tests are performed to illustrate that the proposed DFA-bsaed regression estimators are capable of accurately depicting the dependence between the variables of interest and can be used to identify different dependence at different time scales. We apply this model to analyze the PM2.5 series of three adjace...

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