Proceedings of the 2014 International Conference on Management Science and Management Innovation

Analysis and Prediction of Environmental Pollution Control of China's Investment Based on Grey Prediction and Multiple Regression

Authors
Zhan-Hua Zhang, Xiao-Hong Liu, Chun-Yan Zhang
Corresponding Author
Zhan-Hua Zhang
Available Online June 2014.
DOI
10.2991/msmi-14.2014.88How to use a DOI?
Keywords
Grey prediction, Multiple regression, Investment in environmental pollution control, Prediction.
Abstract

According to the future uncertainty of investment scale of pollution control in China, in order to predict the variable value, Grey prediction model is used to eliminate the noise pollution which is from the variable data of investment in environmental pollution control. Then through multiple regression models and the variable data, to predict and analyze the future of China's environmental pollution control investment.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Management Science and Management Innovation
Series
Advances in Economics, Business and Management Research
Publication Date
June 2014
ISBN
978-94-6252-015-8
ISSN
2352-5428
DOI
10.2991/msmi-14.2014.88How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhan-Hua Zhang
AU  - Xiao-Hong Liu
AU  - Chun-Yan Zhang
PY  - 2014/06
DA  - 2014/06
TI  - Analysis and Prediction of Environmental Pollution Control of China's Investment Based on Grey Prediction and Multiple Regression
BT  - Proceedings of the 2014 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 506
EP  - 511
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-14.2014.88
DO  - 10.2991/msmi-14.2014.88
ID  - Zhang2014/06
ER  -