Sentence examples for evaluation of goodness from inspiring English sources
In the interaction experience model, the evaluation of Goodness (overall interaction quality) was less stable and influenced by both Pragmatic Quality and Hedonic Quality, but the evaluation of Beauty was more stable and only influenced by Hedonic Quality.
In addition to the overall evaluation of goodness of fit, the standardized factor loadings were examined in order to identify the misspecification for model modification.
The y = ŷ straight line (corresponding to a perfect match of the model) and the 95%-confidence intervals of the whole-model ANOVA tests are also represented for visual evaluation of goodness of fit and statistical significance, respectively (the more the confidence intervals are close to the y = ŷ straight line, the more the statistical significance of the model is important).
The choice between models was made by evaluation of goodness-of-fit.
All data management, evaluation of goodness-of-fit, and visual predictive checks and simulations were performed using R version 3.0.1.
Graphical evaluation of goodness-of-fit was mainly assessed by observed vs. predicted concentrations and weighted residuals vs. time and/or weighted residuals vs. predicted concentrations.
Evaluation of the goodness of fit and prediction capacity of the constructed models was performed by error analyses.
In this article we introduce the potential use of the AC/DC/AC accelerated electrochemical protocol as a suitable tool for the fast evaluation of the goodness of the polymer-polymer interface (i.e. scar) in a healed scratch.
The statistical test of the fitting for the evaluation of its goodness comes from the null hypothesis that the given data are described by the fitted statistical model.
The RMSE is more sensitive to the larger relative errors caused by the low valued so that it offers a balanced evaluation of the goodness of fit of the model.
The first refers to chemical descriptors or fragments related to the whole data set; the second is a similarity tool to show the six compounds of the training set most similar to the submitted chemical; the third allows an evaluation of the goodness or errors in prediction for these six compounds.
