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Exact(45)
Thus, based on all fit indices, the best fitting model was retained in all following analyses.
In confirmatory factor analysis, the selection of the best fitting model was based on several fit indices.
All models were fitted separately to each data set, and the best fitting model was selected for each chemical according to a statistical goodness-of-fit criterion (Akaike information).
The best fitting model was chosen according to the statistical criteria.
In each case, the best fitting model was the one that allowed for both positive and negative selection along the internal branches involved in the bottlenecks (p<0.05).
The best fitting model was selected based on the AIC.
Similar(15)
Specifically, a variety of nonlinear regression models were fitted independently to the same data set, and the best-fitting model was selected using a statistical goodness-of-fit criterion.
The best-fitting model was chosen according to the following fit indices: Bayesian Information Criterion (BIC), Lo-Mendell-Rubin Likelihood Ratio Test (LMR-LRT), and Bootstrapped Likelihood Ratio Test (BLRT).
The best-fitting model was selected on the basis of a statistical goodness-of-fit criterion [Schwarz information criterion (Schwarz 1978)].
The best-fitting model was evaluated using the correlation coefficient.
The final or best-fitting model was obtained with a 91.5% misfit.
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