Sentence examples for statistical goodness from inspiring English sources
The laboratory fatigue models developed had good-to-fair statistical goodness of fit parameters (0.65 ≤ R2 ≤ 0.85), which can be used to predict the fatigue lives of pervious concrete in case of non-availability of testing capabilities.
A Mr predictive model based on G∗/sinδ stiffness parameter was established with excellent statistical goodness of fit measures.
This paper considers the utility of statistical goodness of fit testing in the context of mechanistic models of carcinogenesis.
To validate the distributions obtained by both the models, chi-square non-parametric statistical goodness of fit have been carried out between actual travel time considered as observed frequency and travel time estimated by SRSM and MLR model considered as expected frequency and 30 s travel time intervals have been considered for frequency estimation.
(ECHA guidance also articulates principle 4 as the 'appropriate performance of the model (the statistical "goodness" of the model, robustness and predictivity)'[5].) This statistical focus addresses the functional shift from using QSARs for scientific exploration to using them for prediction in the regulatory protection of human health and the environment.
When estimation methods are used, models are evaluated based on standard statistical goodness of fit criteria.
Statistical goodness-of-fit estimations showed that the model was a good fit.
Equivalence tests are unlike statistical goodness-of-fit approaches and instead examine dissimilarity.
For this reason, two statistical goodness-of-fit tests were employed to examine the performance of each studied distribution such as: the maximum likelihood criterion with its modification to AIC and the K-S minimum distance criterion.
The best-fitting model was selected on the basis of a statistical goodness-of-fit criterion [Schwarz information criterion (Schwarz 1978)].
The estimates presented are based on the preferred models, which were chosen on the basis of a number of statistical goodness-of-fit measures.
