Sentence examples similar to full range of distribution from inspiring English sources

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It is possible that the levels of missing data or proportions of outlying datapoints in these studies are responsible for this difference from simulated results, which draw on complete data sets that collectively offer a full range of distributions.

"What we have now is a portfolio of brands and a broad range of distribution assets".

A broader discussion that includes rural migrant workers in China's labor market, as well as labor markets in other societal contexts, is indispensable in order to examine a full range of the distribution of individual job search behaviors.

This allowed us to make important inferences about the dioxin levels in the blood in the referent population, as well as to characterize the full range of the distribution for each congener in blood, household dust, and soil.

This is not the case for utilitarianism, with adherents dispersed in their recommendations across the full range of possible distributions and economic structures.

Nevertheless, in order to represent the full range of exposure distributions and behavioural aspects in each type of microenvironment, measurements from numerous participants should be collected for each type of microenvironment.

(http://www.netgear.com/Products/PowerlineNetworking/PowerlineEthernetAdapters.aspx) NETGEAR is the only networking company that offers the full range of in-home distribution technologies to the retail and service provider markets, including powerline, MoCA® coax and wireless.

Furthermore, we also highlighted the importance of analyzing several individuals, and if possible, representing the full range of the species' distribution, to increase the validity of the method [37].

The full range of the score distribution was observed for all scales.

It also uses quantitative estimates of g rather than a dichotomous trait and includes individuals from the full range of the normal distribution, extending the analysis to accommodate the quantitative trait locus model (Plomin et al. 2008).

A Cost Curve analysis is a graphical technique used to visualize the performance (error rate or expected cost) of binary classifiers over the full range of possible class distributions and misclassification costs.

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