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The suitable model structure is highly dependent on various criteria, i.e. the modeling objective, the characteristics and the scale of the system under investigation and the available data.
The suitable model was also modified for better predictions.
The model has proved to be the suitable model in many of past studies.
As it was mentioned before, this research assesses different models with different inputs and selects the suitable model.
This agrees with the previous result of Langmuir fitting which proved to be the suitable model that gives best fitting.
Concerning the error minimization in the estimation of the response and some statistical methods, the suitable model was selected.
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Regarding ordinal data, ordered categorical models are the suitable models for the evaluation.
These results reinforce the affirmation of Ionut et al. (2010) [ 30] that the dog is the most suitable model for the study of human diabetes.
The objective of the present investigation is to determine the model parameters and find out the best suitable model for the soil of below mentioned study area.
Therefore, in addition to carefully selecting the most suitable model for the study, the interpretation of overlapping effects of cell injury in those models is very important.
In order to arrive at the most suitable model, the models built by various servers had to be evaluated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com