Sentence examples for model a normalization from inspiring English sources

We define for each model a normalization function φ→0, i.e., φ ε →0 as ε→0, φ n →0 as n→∞, and φ T →0 as T→∞.

Therefore, in order to perform fitting using coarse-grained models, a normalization is necessary, i.e. the P r) from the coarse-grained model needs to be scaled to match the experimental P r).

Three positive contributions of this goal are: (i) it unifies results from any particular instance of a study-specific model; (ii) basing a normalization algorithm on this goal clarifies its purpose and expected operating characteristics; and (iii) attaining this goal suggests that the experimenter understands all systematic sources of variation present in the data.

This paper presents a normalization model to characterize the nonlinear deformation of a tire in the tire/ground contact region based on tire torsion deformation and an equation to predict the pivot steering resistance torque of the tire.

In order to accurately and objectively evaluate the fatigue properties of asphalt mixtures, a normalization model of fatigue characteristics for asphalt mixtures under different stress states was established based on the yield criterion in 3 dimensional stress states and the patterns of variation between the strength and the loading rate.

Under those conditions a normalization model yielded a good description of the data.

Some of our data support a normalization model of attention, but the latter would have predicted positive correlations between attentional MIs and surround MIs for all comparisons, which we did not find, and notably not for a critical comparison as shown in Fig. 5A.

Violation of either of these properties can be seen in the joint distribution of P-values obtained from testing H0 i : b i = 0 versus H1 i : b i ≠ 0. Therefore, we propose the following criteria as the ideal properties for a normalization model to achieve.

The first method implements a model of normalization of observed binding peak height values in a ChIP-seq experiment against peak height values in the corresponding negative control experiment (anti-GFP [ 15]).

Indeed, when models were fit without a normalization offset term, the shift in the distribution of flow cell effect estimates corresponded with the date of the SCS software upgrade mid-way through the study which increased the number of reads by several million per lane.

A normalization process model that enables analysis of the conditions necessary to support the introduction of complex interventions is presented.