Sentence examples for based on model fit from inspiring English sources
Under this analytic framework, we contrasted a set of candidate models (representing different hypotheses) with each other and identified the best model (or the best set of models) based on model fit (Burnham and Anderson 2002), where the best model was the one with the lowest Akaike information criterion (AIC) value.
Kim (2005) developed equations to compute the sample size based on model fit indices for a given statistical power.
In each case, the subsequent model was compared to the preceding model based on model fit and change in the CFI.
Based on model fit, a series of post hoc respecifications were made to the model and retested to create a model that better fit the data.
The final model was selected based on model fit statistics, including the Akaike Information Criterion AICC), the Bayesian Information Criterion (BIC), the Root Mean Square Error of Approximation (RMSA), the Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI) and the Standardised Root Mean Square Residual (SRMR), as suggested by Hu and Bentler (1999).
Construct validity based on model fit indices showed good model fit.
Structural information, such as the lamellar long period, lamellar crystal thickness, amorphous layers between lamellae, invariant and crystallinity has been quantitatively determined based on model fitting.
The error metrics based on model fitting (Fig. 8 a, b) are computed from the current frame and thus respond instantaneously to the changes in field coherence.
In this case, we use a specific error metric based on model fitting to estimate the reliability of reconstruction and object detection.
In these models schistosome infection status was characterized as simply infected or not infected, rather than by the intensity of infection, based on model fits with prevalence and linear effects of intensity (see S3 in Additional File 1 for further details).
Analyses were conducted using internal comparisons based on models fit with the Epicure Poisson-regression risk-modelling software (Preston et al, 1993).
