Sentence examples for distributions were generated from inspiring English sources

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The size distributions were generated by the Malvern Application (version 5.60) using the general purpose enhanced model for fine powders.

Shielding distributions were generated for the combined ISS and detector shielding models.

This indicates that the power law distributions were generated by the Yule Simon process because the p was proportional to d, and these strategies subsequently generated the power law distributions.

Individuals selected social grooming partners in proportion to the strength of their social relationships, that is, the individuals tended to reinforce their strong social relationships; these power law distributions were generated by the Yule Simon process (Yule, 1925; Simon, 1955; Newman, 2005) (Fig. 2), similar to a previous study (Pachur et al., 2012).

For the multiple-conformer approach, however, three different distributions were generated: the unique conformer-conformer pairs (Figure 2, Scenario B), the unique conformer-compound pairs (Figure 3, Scenario D), and the unique compound-compound pairs (Figure 4, Scenario E).

In order to capture the effect of initial grain size, three scaled distributions were generated in proportion to the grain sizes using the distribution generating algorithm (described in "Growth in 2D versus 3D").

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These distributions are generated both by analytical functions and programs based on the finite element method.

However, if random, uniform, or clustered point pattern distributions are generated it may be used for this purpose as well.

For each combination of centroid offset and dispersion level, 300 independent array distributions are generated by Monte Carlo experiments.

In order to understand how the distributions are generated, Fig. 4 illustrates the expected values of the best 2000 models generated by the MCMC sampler.

The family of distributions is generated using the quantile functions of uniform, exponential, log-logistic, logistic, extreme value, and Fréchet distributions.

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