Sentence examples for simple models more from inspiring English sources

For the π parameters, AIC and AICc chose overly simple models more frequently than did backward elimination.

The basic strategy was moving from simple models to more complex models and from a few variables to more.

But many of the phones were simple models made more for talking than Web browsing, and wireless data networks are slow, with sporadic coverage.

Multiple linear regression model is a typically form of simple models where more than one independent variables are present.

The results indicated that the model performance in reproducing daily ET, WC and D improves when we move from simple models to more complex models.

For this reason, statistical model selection by the AIC can be seen as an independent motivation for preferring simple models over more complex ones (Sober and Forster 1994).

The concurrence of the AIC and the BIC seems to give a further motivation for our intuitive preference for simple models over more complex ones.

Examples are given showing the ability to recode simple models, encapsulate more complex models, link with GIS and databases, and use the R statistical package to run models and analyse simulation outputs.

These simple models motivated more complex mechanistic models later in our paper.

However, this general picture may still be overly simple because current genetic data are still limited and do not permit differentiation of simple models from more complex realistic models involving, for example, varying intensities of migration rates between populations over time, long-range expansions, or sexually-asymmetric mating patterns.

Translocation and uptake of nanoparticles can be addressed by cellular models that can also be divided in relatively simple models or more complex ones (Lefebvre et al. 2014).