Sentence examples for model selection the from inspiring English sources

2.1 software [ 39] after normalizing the environmental layers through a recommended Box-Cox transformation [ 7] Model selection, the process of selecting predictors and parameter estimates in a model, is considered one of the most crucial steps in a model building procedure [ 40], and model selection in logistic regression can be performed in a variety of ways.

We found that, if we removed correlated variables prior to model selection, the final models were artefacts of the variables we had selected.

Based on this unrestricted model selection the model effects were tested for plausibility.

During model selection, the training set in 'View 1' was used to learn the number of sets for each block by using the information entropy.

The model purpose, defined at the beginning of the procedure, influences the model selection, the data collection and the model calibration.

All the variables of interest, including the Bayes factors for model selection, the posterior distributions of model parameters, and the averaged results of system responses are obtained by one reversible jump Markov chain Monte Carlo simulation.

The importance of the model selection for the contact area A for accurate modulus and hardness results is emphasized.

After the model selection process, the respective negative binomial models fit the bluefin and yellowfin tuna data well.

In light of the model selection results, the relaxed molecular clock was used in the genomic partition analysis.

Moreover, the model selection of the parameters is time-consuming.

Due to the model selection and the multiple testing, only effects nominally significant at P ≤ 0.01 are cited.