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Quantile Regression Applications in Climate Change
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Author(s): Leigh Wang (Northwestern University, USA)and Mengying Xia (Emory University, USA)
Copyright: 2023
Pages: 13
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch147
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Abstract
Climate change has become one of the most severe and pressing world issues due to its destructive effects of environmental degradation. Climate change aggravates global warming and brings about potential risks for both human society and natural systems. The quantile regression being used to help with climate change is exceptionally new. The article scrutinizes the newest developments in this important research area and provides the future research directions.
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