Least square support vector and multi‐linear regression for statistically downscaling general circulation model outputs to catchment streamflows

By D. A. Sachindra, Fuchun Huang, A. Barton, B. J. C. Perera. 2013

130 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/23ddd60355433f471eae44f29aa24c06bb9c13ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Y. P. Li
2. Guohe Huang

In Global and Planetary Change

1. Y. P. Li
2. Guohe Huang

In Water Science and Technology

1. Guohe Huang
2. Y. P. Li
3. Yurui Fan
4. Zhong Li
5. Xiuquan Wang

Citations in the corpus

• Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods (2016, methodology): “These approaches primarily include statistical regression (Sadri and Burn 2012; Adamowski and Karapataki 2008; Adamowski et al. 2012; Sachindra et al. 2013), artificial intelligence (Cigizoglu 2005; Turan and Yurdusev 2009; Wang et al. 2009; Yang et al. 2015) and machine learning methods (Okkan and…”