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It must be said some have looked at their models and concluded they were flawed, either because they excluded the potential for wild excesses in the banking system or because they assumed people behave rationally when confronted with economic choices.
Premachandra et al. (2009) compares LR and DEA models and concluded DEA models have a better predictive accuracy to predict bankrupt firms (between 84%and89 89 %), but the LR is more accurate in predicting healthy firms (between 69.3 % and 99.47 %).
Different biomechanical studies have compared the initial fixation strength of metal and bioabsorbable interference screws in animal and human cadaveric models and concluded that there are no significant differences in their mechanical performance (Kousa et al. 2001).
Inspired by Fitts' law, we studied four possible models and concluded that movement time for a distal pointing task is best described as a function of the angular amplitude of movement and the angular size of the target.
Yang et al. [40] examined the factors affecting the strength and deformability of 2D discrete element models and concluded that the macroscopic properties are sensitive to L/d ratio (L is the smallest length of the sample, d is the median of the particle diameters used in the DE analysis), however, these properties tend to stabilize for L/d ratio of more than 32.
We exploited the beta-binomial, gamma-Poisson, and generalized inverse Gaussian-Poisson models, and concluded that the relative abundances of a transcriptome followed the generalized inverse Gaussian distribution.
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In addition, we analyze the model performances among different models and conclude that increasing the model complexity does not guarantee a better model performance.
Through different experiments, I compare the performance of the models and conclude that there is no "best" model, since different models are better for different things in different contexts.
This paper also reviews existing multicomponent equilibrium adsorption models and concludes that, for aquaculture applications, the Ideal Adsorbed Solution Theory IASTT) with the Freundlich isotherm is the model that is most suitable.
This paper examines the advantages and disadvantages of these different FIT models, and concludes with an analysis of these design options, with a focus on their implications both for investors and for society.
Furthermore, we discuss the general applicability of random walk particle tracking in comparison to the standard transport models and conclude that in advection-dominated problems using a high spatial discretization or requiring the performance of many model runs, RWPT represents a good alternative for modelling contaminant transport.
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