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Development of Multiple-variable, Non-linear, Regression Models Linking Lake Erie Water Quality to Environmental and Climate Teleconnection Forcings, 1970s–2010s

CITE Title : Development of Multiple-variable, Non-linear, Regression Models Linking Lake Erie Water Quality to Environmental and Climate Teleconnection Forcings, 1970s–2010s Personal Author(s) : Wang, Jia;Trumper, Matthew;Zhang, Hongyan;Kessler, James;Rowe, Mark;Chu, Philip;Yang, Ting-Yi;Lofgren, Brent; Corporate Authors(s) : Great Lakes Environmental Research Laboratory Published Date : 2022 Series : NOAA technical memorandum GLERL ; 177;GLERL contribution no. 1958; DOI : https://doi.org/10.25923/d9mk-jn08 Wang, Jia et al. (2022). Development of Multiple-variable, Non-linear, Regression Models Linking Lake Erie Water Quality to Environmental and Climate Teleconnection Forcings, 1970s–2010s. https://doi.org/10.25923/d9mk-jn08 Wang, Jia et al. "Development of Multiple-variable, Non-linear, Regression Models Linking Lake Erie Water Quality to Environmental and Climate Teleconnection Forcings, 1970s–2010s" (2022), https://doi.org/10.25923/d9mk-jn08 Wang, Jia et al. "Development of Multiple-variable, Non-linear, Regression Models Linking Lake Erie Water Quality to Environmental and Climate Teleconnection Forcings, 1970s–2010s" , 2022, https://doi.org/10.25923/d9mk-jn08 Export RIS Citation Information.

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Wang, Jia ;

Trumper, Matthew

2022 | NOAA technical memorandum GLERL ; 177

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This report uses relationships between biological parameters and environmental forcings to develop statistical prediction models for hypoxia and water...

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