Sentence examples for community variance from inspiring English sources

A variance partitioning analysis showed that temperature directly constrained 2.01 % variation in BCCs, while temperature-induced changes in water geochemical and grazing rate indirectly accounted for 4.03 and 12.8 % of the community variance, respectively.

Sample type (deep throat swab or sputum) explained only 7% of community variance (p = 0.001), with age group explaining 33% (p = 0.001), suggesting that the method of sample collection did not substantially impact community compositional differences, although differences in the site of sample collection likely explains this low level of variance observed.

The estimated community variance was also expressed as median odds ratios (MOR = 1.58) which means that the likelihood of having neonatal mortality increased by 58% when a woman moved from a community with lower risk to a higher risk community.

To describe the amount of community variance potentially represented by the ordination, we conducted a post hoc partial Mantel correlation between a Euclidean distance matrix from the ordination and the total community data matrix using Bray Curtis distances following recommendations in McCune and Grace (2002).

Herb cover, grass cover, vegetation density and height, relation of grass versus herb dominance explained most of the community variances, while soil parameters and age of sites were of minor importance.

In an unadjusted model, a large change in between-community variance (25% decrease) suggested the distribution of SEP quartiles was different across block groups.

Setting aside the three counties that belong to the New York community, the between-community variance of Ni is reduced by 68%.

We assumed the community-specific estimates to be normally distributed with a common mean and with the variance modeled by the sum of two variances: within-community variance, ν i(t), and between-community variance indicating the heterogeneity of risk among cities, σβ(t).

The variances of the community-level spatial and independent error terms across all subjects are defined to be the average across Gibbs samples of the within-community variances, namely, where Posterior distributions are obtained for each of these community-specific parameters, and from these posterior means, each is obtained.

The within-community variances of the individual-level spatial residual terms are computed at each iteration of the Gibbs sampler to be and these are then averaged across Gibbs samples; the variances of the independent errors are computed similarly with e ci replacing S ci.

However, due to high community-level variance observed, the communities used seem to be appropriate to capture social context.