Sentence examples similar to cross distributional from inspiring English sources

We have presented Conda-based packages as a cross-distributional resource of readily usable software packages.

Via cross-distributional efforts like AppStream, a good part of this curation may be shifting to the upstream source tree, to be equally used by all distributions.

This equips minimum cross-entropy and FPD distributional estimates with measures of uncertainty.

This observation provides preliminary evidence that individuals who continue to experience either low effectiveness or troublesome side effects may be more likely to switch or discontinue their medication, and thus contribute to the changing distributional characteristics of cross-sectional satisfaction data over time.

Are the distributional trends also similar cross-nationally?

They further suggest that the WTO provides an optimal forum for cooperation when states need to rely on cross-issue linkages to overcome existing distributional conflicts, when the underlying issue calls for an enforcement mechanism, or when both the net benefits of the agreement and the opportunity costs of non-agreement are high.

Implicit allocation or market coupling, in principle, would increase the efficiency of cross-border trade, but may result in distributional effects, involving for instance a free-riding effect.

None of these scaling solutions, however, have been shown to wholly resolve the distributional problems associated with the cross-sectional measurement of TS and PS.

The technique, for given multiple target time series, simulates an identical shape of sample auto- and cross-spectra of target signals in records of calculated artificial signals and has great flexibility in controlling non-Gaussian distributional properties while preserving the auto- and cross-spectra.

For the mixture analysis method for the Zambian population, the best model fit was given by distributional assumption made for the observed cross-reaction/ tuberculous infection of Weibull/Lognormal and the prevalence was 10.8% ( 95% credible interval (CI): 9.1 12.1).

These distributional methods have been applied to both cross-sectional data (Lynn 2001; Taylor et al. 2001) and longitudinal data (Hughes 1999; Jacqmin-Gadda et al. 2000; Lyles et al. 2001a, 2001b; Thiébaut and Jacqmin-Gadda 2004) when the analyte is the outcome of interest.