Sentence examples for the model expected from inspiring English sources

The model expected to be available online this summer will let the public maneuver around the craft themselves and even print their own 3-D model of it.

Figure 5 shows the observed proportions of missingness compared with the fitted function based on the BRT model, for the first nine variables indicated in figure 4. The centre of the vertical axis indicates the model expected proportion of missingness.

Adjusted pseudo R2 was also used to compare the different models with R 2 = 1 - ∑ y i log (y i λ ^ i ) - (y i - λ ^ i ) ∑ y i log (y i y ¯ ) where yi was the observed count and λ ^ i was the model expected count, and adjusted pseudo R2 was given by R adj 2 = 1 - N - 1 d.f.

Hence, to facilitate the identification of regions of the model expected to be of high quality (i.e. highly conserved sequence alignment with no or few insertions and deletions), the structurally derived target-template alignment is shown in colors, highlighting regions of conservation between the modeled protein and the structure template (41).

As each subset-specific deviance was calculated based on the model that did not depend on the data in the corresponding validation subset, the lower cross-validated deviance indicated the model expected to better predict the outcomes in an independent data set from a similar population (Rachet et al, 2003; Binquet et al, 2008).

To meet the "new normal" that the model expects, it won't be enough for Mr. Obama to have pretty good polls.

The model expects that the polls are more likely than not to tighten some: Mr. Kerrey has raised about twice as much money as Ms. Fischer as of the last reporting period.

Five of the six maps rated Wisconsin a tossup, but the model expects Mr. Obama to have little trouble in the Badger State, giving him an 83 percent chance of winning there.

By disregarding the great degree low and huge estimation of concentrations, the model expects that heat of adsorption (the function of temperature) of all molecules in the layer would diminish linearly instead of logarithmic with coverage (Tempkin and Pyzhev 1940).

WMNSQ values greater than 1 indicate that an item is less predictable than the model expects (i.e., underfit), whereas values smaller than 1 indicate that the item is more predictable (i.e., overfit; Wright and Linacre [1994]).

However, the model expects that their intensities reach the same saturation level when all probes are hybridized with target molecules.