Sentence examples for model adequacy by from inspiring English sources

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.

Accordingly, we suggest here that model selection by the BIC or DT, together with model adequacy tests by parametric bootstrap [ 48, 49] or posterior predictive distributions [ 1], might be the best approach.

The details of model development and model adequacy test by analysis of variance (ANOVA) are presented in this paper.

The model adequacy is verified by the confirmation tests.

Diagnostics of model adequacy was performed by predicted versus actual, normal % probability and internally studentized residuals.

The model adequacy was tested by contrasting a simulated sample against an independent sample of real animals.

The model adequacy was guaranteed by the assessment of statistical parameters such as coefficient of determination (R2 = 0.903), adjusted R2 (0.877) and adequate precision (19.23).

Model adequacy was checked by means of tests such as analysis of variance (ANOVA), a lack of fit test, and residuals distribution consideration.

Model adequacy was evaluated by comparing the predictions to a base case model in which the dependence of the reaction rate on the nonuniformity of the surface was rigorously taken into account.

We used the posterior mean deviance as a Bayesian measure of fit or model adequacy as defined by Spiegelhalter et al. [20].

Model adequacy was evaluated by χ² tests.