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Criterion is essential for measuring the goodness of an experimental design.
All models were evaluated by measuring the goodness of fit through the coefficient of determination (R2) and the Normalized Root Mean Square Error (NRMSE).
In this case we fitted the regression model by assuming the dominant and the recessive model and selecting the best model on the basis of the Wald test measuring the goodness of fit.
To compute p-values (which we call empirical p-values), we applied a permutation scheme to the Wald's statistics of the genotype specific odds ratio parameter, to the Wald test measuring the goodness of fit of the model and to the likelihood ratio tests used to check (a) the departure from a multiplicative model and (b) to perform a conditional independent test (see below).
R-squared statistics is used for measuring the goodness of the fit of the data.
Finally, the linear regression was served as a test measuring the goodness of fit between movement time and the index of difficulty to develop the predict model.
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Measuring the goodness-of-fit of the restricted models by AIC, the model with lowest AIC score is selected as the best fitting model.
Forms of model assessment common in both frequentist and Bayesian methods involve measuring the goodness-of-fit to evaluate whether the chosen final model provides an adequate fit to the longitudinal data and to firmly establish the model's credibility (model assessment).
The parameters for the resulting linear least squares models as well as the P-values measuring the goodness-of-fit for the expression and for the correlation profiles are summarized in Table 3 together with the PCA model results for the correlation profiles space.
To evaluate the goodness of monoexponential vs. biexponential fits, we used the Bayesian Information Criterion BICC) that measures the goodness of fit in nonlinear models44.
"Stanford students are superb consequentialists — that is, we tend to measure the goodness of actions by their eventual results," he wrote.
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measuring the season
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