Sentence examples for model adequacy the from inspiring English sources

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In order to check for model adequacy, the VECM is subjected to a number of diagnostic tests, namely the normality, serial correlation, heteroscedasticity (BPG and ARCH) and Ramsey RESET tests to ascertain its statistical adequacy.

In the evaluation of model adequacy, the likelihood ratio test is suggested as a diagnostic tool.

To check model adequacy, the use of dispersion and deviance is often used.

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As discussed in the model adequacy section, the use of the logarithms of the rates yielded a model that fulfilled the assumptions of linear regression, once an outlier was removed; the residuals of that model did not prove to lack a normal distribution, did not have a mean that proved to differ from zero, and did not prove to lack homogeneity of variance.

In order to confirm the model adequacy and the validity of the optimization procedure, experiments were performed in six real contaminated soils samples.

To confirm the used model adequacy and the validity of the resulted optimization conditions, additional experiment was performed under optimal operating conditions.

We report model adequacy for the fully Bayesian approach only since the other approaches are its approximations.

Besides the minimum of MSE, the important model adequacy evaluation is the physical basis of the obtained solution, "shrinking" of the more complex models to a simpler model, and the match of the absorption index values obtained ellipsometrically and photometrically.

After ensuring model adequacy using the Hosmer Lemeshow test, adjusted odds ratios (ORa) were calculated.

A model diagnostic tool based on the posterior predictive distribution can be used to assess model adequacy by comparing the observed data with the samples drawn from the posterior predictive distribution.

A simple test for the model adequacy is to compare the overall (Kaplan Meier) survival curve to the model-based predicted survival and, ideally, for any group of patients the two should be close, if not identical.

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