Sentence examples for modeling strategies used from inspiring English sources

However, it brought some useful insights regarding the levels of risk associated with the various modeling strategies used to derive candidate models.

These results partly reflect the various modeling strategies used for constructing the candidate models.

The motivation for choosing the modeling strategies used in the industrial-scale steam methane reformer CFD model is discussed and is based on expected transport phenomena and chemical reactions within the reformer.

To maintain comparability with the other modeling strategies used, we included age of exam (in quantiles), smoking, and CFH Y402H, ARMS2 A69S, CFB R32Q, and C3 R102G as inputs for the neural networks.

The primary issues discussed are related to (1) the chemistry and interactions between ME and its triazine analogs; (2) reported animal and human exposures with possible pathways through which ME can enter the human food chain; (3) mammalian toxicology; (4) comparative pharmacokinetics (PK) and modeling strategies used to predict residue levels; and (5) emerging issues and management strategies.

We explore different multi-stage and multi-constraint modeling strategies using the Hybrid Reverse Monte Carlo (HRMC) technique to develop realistic models for the amorphous structure of silicon carbide derived-carbon, and investigate the effect of modeling parameters on the development of nano-structural features of the constructed models.

Following the sensitivity studies, non-influential parameters are fixed at their mean values, and the probability of failure is estimated for the investigated modeling strategies using a full-probabilistic approach.

The U.S. Environmental Protection Agency EPAA) requested that the Health Effects Institute (HEI) organize a systematic reanalysis of selected studies to assess the sensitivity of the original estimates produced with non-parametric modeling strategies, using prespecified alternative modeling approaches.

Comparisons between algorithms have been made difficult due to differences in which risk factors are included in the model, differences in the type of modeling strategy used, and the variety of measures used to describe the success of the algorithms.

Following the modeling strategy used in several previous studies (23– 25), a Bayesian spatio-temporal model (26) was used to estimate complete MMR series from 2005 to 2010 for each district in MP.

In connection with generic developments in a flexible modeling strategy using the paradigm of Bayesian hierarchical models, hierarchical disease-mapping models based on conditional autoregressions (CAR) were proposed in the 1990s through the work of Besag et al. (1991), Clayton and Bernardinelli (1992), and Clayton et al. (1993).