2020
DOI: 10.1590/0001-3756202020200594
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Trade-off between number of constraints and primary-statement robustness in entropy models: the case of the open-channel velocity field

Abstract: In this research, the trade-off between the number of restrictions and the robustness of the primary formulation of entropy models was evaluated. The performance of six hydrodynamic models in open channels was assessed based on 1730 Laser-Doppler anemometry data. It was investigated whether it is better to use an entropy-based model with more restrictions and a weak primary formulation or a model with fewer restrictions, but with a strong formulation. In addition, it was also investigated whether the model per… Show more

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Cited by 3 publications
(2 citation statements)
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“…In the selection of the best distribution using the PoME, additionally to the constraints listed in Table 1 , there is an implicit assumption taken: that the data follow a specified distribution (i.e., beta, gamma, uniform, etc.). Silva Filho et al [ 67 ] pointed out that the selected constraints of the PoME have to be relevant to the studied variable and that additional constraints do not necessarily lead to better results. Therefore, as we see in Figure 3 and Figure 4 , the narrowest distribution does not necessarily best suit the model.…”
Section: Discussionmentioning
confidence: 99%
“…In the selection of the best distribution using the PoME, additionally to the constraints listed in Table 1 , there is an implicit assumption taken: that the data follow a specified distribution (i.e., beta, gamma, uniform, etc.). Silva Filho et al [ 67 ] pointed out that the selected constraints of the PoME have to be relevant to the studied variable and that additional constraints do not necessarily lead to better results. Therefore, as we see in Figure 3 and Figure 4 , the narrowest distribution does not necessarily best suit the model.…”
Section: Discussionmentioning
confidence: 99%
“…beta, gamma, uniform, etc.). Silva Filho et al (2020) pointed out that the selected constrains of the PoME have to be relevant to the studied variable and that additional constrains do not necessarily lead to better results. Therefore, as we see in Figures 3 and 4, the narrowest distribution does not necessarily suit best the model.…”
Section: Probability Distributions Functions -Medridmentioning
confidence: 99%