Your English writing platform
Discover LudwigSuggestions(1)
Exact(46)
In order to deal with sample attrition, the models were estimated using FIML estimation with auxiliary variables that predicted missingness or were predictive of the missing values themselves in a saturated correlates model (Graham et al., 2003; Spratt et al., 2010).
All coefficients in the models were estimated using maximum likelihood estimation.
In the present study, the models were estimated using three different estimation procedures: the LL, the PQL and the MCMC procedures.
School was specified as a nested random effect in all models and the models were estimated using maximum likelihood estimation methods, which are robust to departures from normality [ 50].
Respective parameters for each of the models were estimated by the nonlinear Levenburg Marquardt parameter estimation method, based on the (2 minimization.
The models were estimated by means of marginal maximum likelihood estimation using an expectation maximization algorithm and using numerical integration with 15 integration points in Mplus 7.4 (Muthén and Muthén 1998 2012).
Similar(14)
As before the models are estimated using OLS.
To control for potential endogeneity issues, the models are estimated using an instrumental variables (IV) strategy.
The models are estimated and validated on operational data from The Coleambally Main Channel in Australia.
The classification performance of the models was estimated using AUC values and LOOCV.
The parameters of the model were estimated using least squares estimation.
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