Sentence examples for approach of fitting from inspiring English sources

Exact(8)

The alternative approach of fitting the MC simulation results to receptor clustering and declustering reactions and using the estimated rate constants for receptor clustering and declustering in the ODE model gave nearly identical results (data not shown).

We used the approach of fitting a curve to the observed data and extrapolating to the end of life.

We also evaluate the performance improvement when we combine GE with the traditional approach of fitting network weights with backpropagation.

This makes the straightforward approach of fitting the molecular orientation against the experimental intensities problematic on graphene, where neighboring grains might exhibit a nonrandom angular relation.

Finally, a further approach of fitting PPI networks to specific graph classes was proposed by Zotenko et al. [ 17] who find for a given PPI network a close chordal graph, that is, a graph without induced cycles of length four or more.

Instead, since we are particularly interested in identifying parsimonious models that can explain eve expression, and logistic models are fast to fit, we took the approach of fitting all possible models of four regulators out of the possible 38 in the dataset (73,815 models) and used the log likelihood of each fitted model as its score (or equivalently here, the Akaike information criterion).

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Similar(52)

Hard modeling approaches of fitting multivariate response data are based on mathematical relationships, which describe the measurements quantitatively [14]‐[16].

Our delta GAM approach consists of fitting two independent models, a binomial GAM and a quasi-Poisson GAM, whose predictions are then combined using the delta method to yield spatial abundance estimates.

This particular approach consists of fitting a Cox model with the prognostic score as the only predictor.

The nested models approach therefore consists of fitting a series of models until adequate model fit is achieved.

This paper therefore serves to demonstrate the advantages of this analytic approach in terms of fitting the models and representing the output using simple graphs that clearly represent the estimated dose-response function in various groups.

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