Sentence examples for for models where from inspiring English sources

Five years ago she set up the Model Sanctuary, a pioneering refuge for models, where therapists and nutritionists are among a team of practitioners who treat up to 300 girls a day during London Fashion Week.

For models where more than 98% of the data were removed, the methods were not able to provide predictions because one or more assays had no activity annotation left.

If this idea is correct, then we expect non-monotone δ ( g ) to occur for models where voltage can be significantly slowed between spikes, without preventing the firing of the next spike, when g is on the lower end of the spiking range.

However, for models where the number of paths is lower or the number of selected relays is bigger, a higher feedback percentage is needed to achieve the full CSI selection scheme performance (40%% when n G =2,K=2 and 70%% when n G =2,K=3).

Specifically, we varied the Nssites option to generate log likelihood values for models where KA/KS is specified to vary among sites, but can be constrained to be <1.0 (neutral models) or allowed to rise above 1.0 (selection models).

Results are also given for models where IQ quartiles and educational attainment were modelled categorically.

Extracted values for modelling where centered (with function scale) and scaled (to a mean of zero and a standard deviation of one) to make model estimates more comparable.

Because a primary focus of this study was the relationship between age and survival in association with these analytes, we added an age/death interaction term for those models where results for age and/or death were significant.

This paper presents and illustrates some novel subset design approaches for nonlinear regression models and for linear models where interest lies in a nonlinear function of the model parameters with a special emphasis on models useful in detection drug synergy.

So for example, in Bayesian estimation, people often use it for mixture models where you actually have a mixture of multiple different distributions.

A replacement probability was calculated for each individual variable by summing the normalised pseudo-likelihoods for the models where the given variable was replaced.