The other regression models presented should be similarly interpreted.
This also supports using negative binomial regression over other regression methods (Hilbe 2011).
Simulation show that ANNs model does not provide a significant improvement without time delayed input over other regression models.
This finding was confirmed by Wen et al. [37] who analyzed the performance of several other regression methods.
However, this model is statistically not significant in contrast to all the other regression models in the present study.
Compared with other regression models, the GP takes into account the noise of the observation and provides the ability to approximate nonlinear signal propagation model.
In contrast to other regression methods, GMR does not model the regression function directly, but models the joint probability of the data.
The authors concluded that the RBNN model has higher performance compare with the other regression methods in simulating the considered side weir discharge coefficient.
We demonstrate that a BART model performed similarly to other regression tree approaches when field data and high spatial resolution imagery predictions were combined to predict indicator values using the medium spatial resolution Landsat image.
Although, this is not a high percentage, the output of the coefficients shows that all unstandardized coefficients are statistically significant for Mexico, which is not the case in the other regression models discussed.
Further, in the posture estimation, we employed SVR as the regression method to simplify implementation, but we could investigate using other regression methods such as random forest regression and neural networks.
