Sentence examples for distribution jointly from inspiring English sources

Consideration of both IL-6 and CRP distribution jointly showed similar patterns of association as with either marker alone.

Each expression value is not independent of the others, and it is important to model their distribution jointly.

Thus, the two parameters that characterize the gamma distribution jointly determine its location and shape, because the mean and variance of this distribution are functions of both the parameters.

Suppose that γ q and γ q ′ have multivariate normal distribution jointly, with mean 1 μ γ q and 1 μ γ q ′, respectively, and covariance matrix G σ γ q q ′, where 1 is a g × 1 vector of 1s and G = X X ′ / c is the additive genomic relationship matrix (Appendix).

The top five journals in this field (Biological Conservation, Conservation Biology, Biodiversity and Conservation, Ecological Applications, and Diversity and Distributions) jointly accounted for 36% of the total publications since 1980 (Fig. 1B).

Comag, a joint venture distribution business jointly owned by magazine publishers Hearst and Condé Nast, normally distributes a few dozen copies of Charlie Hebdo in the UK each week.

In addition, a local parameter depicting the individual block's characteristics regarding the inter-coefficient distribution is jointly combined with SATD to derive an adaptive threshold model for AZB detection.

EM can be used to determine the beta distribution parameters jointly with posterior estimates of bait-specific FDRs.

In other words, once tested successfully as single genes, a set of several oral bacterial genes (related or even non-related) could be assembled and the distribution pattern jointly compared among human individuals.

New principled statistical approaches are needed that can deal with different data distributions and jointly consider collections of datasets.

While it would be possible to design a network inference for each specific data type, we could benefit from a procedure that can treat a wide class of distributions and can jointly consider all available data during network inference (Žitnik and Zupan, 2015).