Evaluation of the Nash–Sutcliffe Efficiency Index
University of Maryland, College Park
Abstract
The Nash–Sutcliffe efficiency index (Ef) is a widely used and potentially reliable statistic for assessing the goodness of fit of hydrologic models; however, a method for estimating the statistical significance of sample values has not been documented. Also, factors that contribute to poor sample values are not well understood. This research focuses on the interpretation of sample values of Ef. Specifically, the objectives were to present an approximation of the sampling distribution of the index; provide a method for conducting hypothesis tests and computing confidence intervals for sample values; and identify the effects of factors that influence sample values of Ef including the sample size, outliers, bias…
Citation impact
- FWCI
- 12.18
- Percentile
- 100%
- References
- 13
Authors
3Topics & keywords
- Statistics
- Outlier
- Goodness of fit
- Sample size determination
- Sample (material)
- Sampling distribution
- Statistic
- Econometrics
- No poverty