Sentence examples for model setting are from inspiring English sources

In practical data sets with arbitrary relationships and fixed effects, choices are less obvious and guidelines to good sampling strategies in a mixed model setting are scarce.

The results showing similar estimated effects for the SEM and NLMM in the logistic model setting are similar to results seen in the non-mediated case where SEM was compared to the generalized estimating equations (a non-SEM) technique.

Models and software for dealing with covariate non-response within a longitudinal mixture model setting are still in their infancy and previous work within the substance use literature has often adopted a relatively simplistic approach to these issues such as the use of a single imputed data set (Li et al., 2001; Hix-Small et al., 2004).

Our model setting is for an asymmetric shear deformation.

This model setting is based on Bewley's (1999) finding that workers' morale does not increase with wage increase, while it can be damaged by pay reductions.

11, we treat the case of algebraic triangulated categories; in the stable model setting, being algebraic corresponds to being k-linear over a commutative ring k.

These model sets are trained by HTS.

Response predictions supported by the subsets of a model set are integrated into a composite prediction using the disjunctive rule of combination.

These gene model sets are very likely to include recent pseudogenes; we examined overlap with the other annotated gene sets for additional model support.

In the Kennard and Stone method, objects in the model set are selected sequentially, starting with the object closest to the data mean.

The model set was tuned to the data of each patient at baseline conditions.