Forecasting of particulate matter time series using wavelet analysis and wavelet-ARMA/ARIMA model in Taiyuan, China-Reference-Cited by-同舟云学术

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Forecasting of particulate matter time series using wavelet analysis and wavelet-ARMA/ARIMA model in Taiyuan, China

Published:2017-04-14 Issue:7 Volume:67 Page:776-788
ISSN:1096-2247
Container-title:Journal of the Air & Waste Management Association
language:en
Short-container-title:Journal of the Air & Waste Management Association

Author:

Zhang Hong¹,Zhang Sheng¹,Wang Ping²,Qin Yuzhe³,Wang Huifeng²

Affiliation:

1. College of Environment and Resource, Shanxi University, Taiyuan, People’s Republic of China

2. Institute of Loess Plateau, Shanxi University, Taiyuan, People’s Republic of China

3. School of Mathematical Sciences, Shanxi University, Taiyuan, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal

Link

https://www.tandfonline.com/doi/pdf/10.1080/10962247.2017.1292968

Reference45 articles.

1. Small-Sample Corrected Akaike Information Criterion: An appropriate statistical tool for ranking of adsorption isotherm models

2. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

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