Statistical procedures for the evaluation of evapotranspiration computing models
1995; Elsevier BV; Volume: 27; Issue: 3-4 Linguagem: Inglês
10.1016/0378-3774(95)01152-9
ISSN1873-2283
AutoresC.P. Jacovides, H. Kontoyiannis,
Tópico(s)Climate variability and models
ResumoThe widely used mean bias error (MBE) and root mean square error (RMSE) in combination with the t-statistic are proposed as statistical indicators for the evaluation and comparison of evapotranspiration computing models. Using data published in Jacovides et al. (1988) it was demonstrated that the use of MBE and RMSE separately can lead to a wrong decision in selecting the best model from a suite of candidate models. The t-statistic should be used in conjunction with the MBE and RMSE errors to better evaluate a model's performance. Finally, the t-statistic indicator can be viewed as a supplement of the MBE and RMSE errors in aiding modellers to determine whether or not a model's estimates are statistically significant at a particular confidence level.
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