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- W2109287738 abstract "Checking the predictive worth of an environmental model inevitably includes a goodness of fit metric to quantify the degree of matching to recorded data, thereby giving a measure of model performance. Considerable analysis and discussion have taken place over fit indices in hydrology, but a neglected aspect is the degree of communicability to other disciplines. It is suggested that a fit index is best communicated to colleagues via reference to models giving unbiased predictions, because unbiased environmental models are a desirable goal across disciplines. That is, broad recognition of a fit index is aided if it simplifies in the unbiased case to a familiar and logical expression. This does not hold for the Nash–Sutcliffe Efficiency E which reduces to the somewhat awkward unbiased expression E = 2 – 1/r2, where r2 is the coefficient of determination. A new goodness of fit index V is proposed for model validation as V = r2/(2-E), which simplifies to the easily communicated V = r4 in the unbiased case. The index is defined over the range 0 ≤ V ≤ 1, and it happens that V < E for larger values of E. Some synthetic and recorded data sets are used to illustrate characteristics of V in comparison to E. Copyright © 2013 John Wiley & Sons, Ltd." @default.
- W2109287738 created "2016-06-24" @default.
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- W2109287738 date "2013-06-11" @default.
- W2109287738 modified "2023-09-27" @default.
- W2109287738 title "A goodness of fit measure related tor2for model performance assessment" @default.
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- W2109287738 doi "https://doi.org/10.1002/hyp.9914" @default.
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