Ecological environmental early-warning model for strategic emerging industries in China based on logistic regression-Reference-Cited by-同舟云学术

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Ecological environmental early-warning model for strategic emerging industries in China based on logistic regression

Published:2018-01 Issue: Volume:84 Page:748-752
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Sun Li-yan,Miao Cheng-lin,Yang Li

Funder

National Natural Science Foundation of China

Anhui Province Philosophy and Social Science Planning Foundation of China

Anhui Province Soft Science Foundation of China

Humanities and Social Sciences Foundation of Education Department

Anhui Province Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference17 articles.

1. Coastal waters environmental monitoring supported by river basin pluviometry and offshore wave data;Abramic;Mar. Pollut. Bull.,2015

2. In-play forecasting of win probability in one-day international cricket: a dynamic logistic regression model;Asif;Int. J. Forecast.,2016

3. Exploiting monitoring data in environmental exposure modelling and risk assessment of pharmaceuticals;Boxall;Environ. Int.,2014

4. Research on the possibility to apply ecological footprint as environmental performance indicator for the textile industry;Butnariu;Procedia – Soc. Behav. Sci.,2014

5. Environmental monitoring through functional biodiversity tools;Di Battista;Ecol. Indic.,2016

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