Estimating information entropy for hydrological data: One‐dimensional case
By Wei Gong, Dawen Yang, Hoshin V. Gupta, Grey Nearing. 2014
70 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/8f7867511c280554498dde33db15fd1f8da96fe9
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
- Hilary K. McMillan
- B. Jackson
- Ilias Pechlivanidis
- Hoshin V. Gupta
- Jasper A. Vrugt
- Thorsten Wagener
- Yuqiong Liu
- M. Clark
In Global and Planetary Change
- Hilary K. McMillan
- B. Jackson
- Ilias Pechlivanidis
- Hoshin V. Gupta
- Jasper A. Vrugt
- Thorsten Wagener
- M. Clark
- Yuqiong Liu
In Water Science and Technology
- Hilary K. McMillan
- B. Jackson
- Ilias Pechlivanidis
- Hoshin V. Gupta
- Jasper A. Vrugt
- Thorsten Wagener
- M. Clark
- Yuqiong Liu
Citations in the corpus
- Use of an entropy‐based metric in multiobjective calibration to improve model performance (2014, background): “In other words, CED can extract the information from the skewed flow data (flow data are characterized by preponderance of many small values and relative scarcity of large values due to their smaller frequency of occurrence) [Gong et al., 2014].”