Sentence examples for methods that model from inspiring English sources

Analysis of such measures using traditional regression methods that model mean changes in the dependent variable may fail to provide a full picture about differential patterns in non-adherence between groups.

They standardly analyze them using abstract methods that model individuals as sovereign, rational choosers.

In this review, we will observe those methods that model learners explicitly and the ones that model them implicitly.

Current test methods that model the accidental ignition of a volume of premixed fuel and air provide ambiguous results when measuring the limiting behavior of weakly flammable refrigerants.

The ESPRIT method is one of the most well-known subspace methods that model waveform samples by means a linear combination of M complex exponentials added to white noise r(n).

In this chapter, we discuss methods that model system dynamics using two interrelated components, species occurrence dynamics that depend on habitat and habitat dynamics that (may) depend on species occurrence.

Significant differences in gene expression were determined using VAMPIRE (Variance-Modeled Posterior Inference of Microarray Data), a Bayesian statistical method that models the dependence of measurement variance on the amplitude of gene expression [22], [23].

Methods that learn models from training data were introduced to overcome these limitations.

We compare our integrative approach to baseline methods that build models on a single host pathogen protein interaction dataset.

Some authors have avoided assessment of congruence altogether, opting instead to develop phylogenetic analysis methods that incorporate models that account for incongruence.

Further studies with larger groups and with more sophisticated computation methods that employ biexponential models or stretched exponential models should determine the optimal computed b-value.