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Overall, the comparisons of the modeling results obtained using different values of α and β reveal that the E R X modeling criterion with α=0.5 has the best ability to discriminate between the candidate model structures.
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Rankings based on E were similar whether determined by measured or modeled criteria (high DOC < low DOC).
2-additive Choquet integral is appropriate to model criteria interactions by pairs and is used in this study.
The development and use of unified modeling criteria also derives from the necessity of having consistent models so that the results of different simulations can be effectively compared.
Lower values of the AIC indicate the preferred model criterion were also used to evaluate.
Table 4 Generalized linear model: criterion PWMHs Parameter B Std. error 95%% Wald confidence interval Hypothesis test 95 % CI Lower Upper Wald Chi-square df Sig.
Numerous algorithms for selecting suitable values of k are available, but selecting k to optimise a model criterion such as RMSE is a logical approach.
Model selection was based on the quasi-likelihood under the independence model criterion (4).
FSSIM has been linked to an economic and several biophysical models (criterion 5).
The model building procedure used the corrected quasi-likelihood under independence model criterion (QICC) for model selection [ 40].
Corrected quasi-likelihood under independence model criterion was compared for main and interaction effects but no model improvement was achieved.
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