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Extensive experiments show that our model can fit the population growth in Facebook and Sina Weibo.
With only three unknown parameters, the nonlinear regression model can fit data efficiently.
Evidently, the proposed model can fit to a wider range of propagation scenarios.
In addition, we also demonstrate that the model can fit to the experimental data.
All the Freundlich, Langmuir and Dual-mode model can fit the sorption data of each BC well.
In particular, if γ X =∞, then the multiple curve affine LIBOR model can fit any initial term structure of forward LIBOR rates.
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Regardless, IRT models can fit well and can still provide us with information about the measurement error.
Since in this range different water sorption models can fit the experimental data well it is hard to decide which model is the most correct.
Even in cases where the test was not constructed explicitly with IRT in mind, IRT models can fit well and provide strong information about measurement error.
There is, therefore, evidence that neutral models can fit empirical data at some scales, but not at others.
We have shown that in some cases, different models can fit equally well particular types of data while in other cases different models lead to different parameter estimates.
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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