The more generalized data sets tended to have considerably less information loss.
For each data set, generalized estimating equations (GEEs) were used to adjust for clustering within sites (MacKenzie et al. 2006; Roudsari et al. 2008).
The exact point where internal and external error meet cannot be generalized and depends on the data set, the modelling technique, and the number of models inspected during the search just to name a few.
Linearity of the associations between EDC levels and zBMI were assessed in the original data set using generalized additive models (GAM) (data not shown).
The generalized Procrustes fit of the combined data set produces a consensus shape that is invariant under all the transformations in the symmetry group, that is, a completely symmetric shape.
Additionally, we calculated a generalized linear mixed model (GLMM) with the original data set (N = 424); individual identity was used as a multinomial response variable.
We used a best-fit approach (Scholze et al. 2001), where various nonlinear regression models (logit, probit Weibull, generalized logit) were fitted independently to the same data set.
To evaluate the capacity of a simplified neural system to predict syllable boundaries, we trained a generalized linear point process model on the syllable data set.
Therefore, KPCA, being suitable to describe the nonlinear structure of data set, can be regarded as a generalized version of linear PCA.
A generalized Benders decomposition algorithm has been deployed and has successfully solved standard data set instances up to 81 nodes.
