Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach
By Rajeshwar Mehrotra, Ashish Sharma. 2006
94 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/35b90e66b8586331720dd03e87f59831712241a2
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In Ecology, Evolution, Behavior and Systematics
- Balaji Rajagopalan
- R. Katz
- Ashish Sharma
- Rajeshwar Mehrotra
- Guillermo P. Podestá
- Somkiat Apipattanavis
In Global and Planetary Change
- Balaji Rajagopalan
- Rajeshwar Mehrotra
- R. Katz
- Ashish Sharma
- Guillermo P. Podestá
- Somkiat Apipattanavis
- Vijay P. Singh
- Eric Gilleland
Citations in the corpus
- An information theoretic alternative to model a natural system using observational information alone (2014, methodology): “Two commonly used distance measures are the Euclidean and the Mahalanobis distance [Mehrotra and Sharma, 2006].”
- Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015, methodology): “In the k nearest neighbor resampling approach with multiple predictor variables of Mehrotra and Sharma (2006), an influence weight was assigned to each predictor to identify nearest neighbors.”
- A semiparametric multivariate and multisite weather generator (2007, methodology): “Furthermore, the k-NN approach was modified for conditional resampling on atmospheric indices [Beersma and Buishand, 2003] and hydrologic time series [Mehrotra and Sharma, 2006].”