Your English writing platform
Discover LudwigExact(37)
As explained in the previous section, likelihood estimates from MLWin are approximate and the usual goodness of fit criterion such as Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) could not be applied [54].
The Akaike Information Criterion (AIC) was used, which is a weighted goodness of fit criterion [17].
The serial sections were aligned to each other using the minimized Euclidian distance as fit criterion.
A bagging step helps to control overfitting by providing better estimates of the fit criterion.
Analogous to the boosting framework, the algorithms iteratively mix the current density estimator with an additional density chosen in a greedy fashion to optimize a fit criterion.
Based on the model fit criterion proposed by Hu and Bentler (1999) (CFI > .95, RMSEA < .08, and SRMR < .08), a good fitting result and construct validity were obtained.
Similar(23)
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 selected on the basis of a statistical goodness-of-fit criterion [Schwarz information criterion (Schwarz 1978)].
Various nonlinear regression models (logit, probit Weibull, generalized logit), which all describe monotonic sigmoidal dose-response relationships, were fitted independently to the same data set and the best-fitting model was selected on the basis of a statistical goodness-of-fit criterion, the information criterion of Schwarz (1978).
Various nonlinear regression models (logit, probit Weibull, generalized logits I and II), which all describe monotonic sigmoidal dose response relationships, were fitted independently to the same data set, and the best-fitting model was selected on the basis of a statistical goodness-of-fit criterion, the information criterion of Schwarz (Schwarz 1978).
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).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com