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Quantile Regression Applications in Climate Change

Quantile Regression Applications in Climate Change

Leigh Wang, Mengying Xia
Copyright: © 2023 |Pages: 13
ISBN13: 9781799892205|ISBN10: 1799892204|EISBN13: 9781799892212
DOI: 10.4018/978-1-7998-9220-5.ch147
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MLA

Wang, Leigh, and Mengying Xia. "Quantile Regression Applications in Climate Change." Encyclopedia of Data Science and Machine Learning, edited by John Wang, IGI Global, 2023, pp. 2450-2462. https://doi.org/10.4018/978-1-7998-9220-5.ch147

APA

Wang, L. & Xia, M. (2023). Quantile Regression Applications in Climate Change. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 2450-2462). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch147

Chicago

Wang, Leigh, and Mengying Xia. "Quantile Regression Applications in Climate Change." In Encyclopedia of Data Science and Machine Learning, edited by John Wang, 2450-2462. Hershey, PA: IGI Global, 2023. https://doi.org/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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