Sentence examples for variance improved from inspiring English sources

Exact(1)

When all the weather and lunar phase data were included in the regression model, the explained variance improved only slightly from R = 0.039 to R = 0.058.

Similar(59)

For P, which is comparatively more variable by day, the DC approach is insufficient at recreating projected regimes while the DBS correction method can transfer changes in the mean as well as the variance, improving the characterisation of temporal dynamics as well as heavy precipitation events.

Supplementary Ledalab analysis revealed that removing between-subjects variance improves performance of Ledalab, but SCRalyze is still significantly more sensitive.

Second, means were smoothed by a hierarchical model assuming their variances (improved estimated variances) are known.

As the estimation of the gene sample variances improves, the inability of the common variance to describe the gene variances becomes more clear.

A modified rank correlation test which is based on the simulated distribution of the estimated measure of association, preferably Spearman's rho, conditional on sampling variances, improves the error rates.

The overall strong effect of smoking was confirmed in our data, where the inclusion of a smoking interaction term with the genetic heritable variance component improved significantly the phenotypic variance explained in both periodontitis traits, reaching up to 52% for severe periodontitis.

The proposed filter is found to yield estimates with reduced sample variance and improved accuracy vis-à-vis results from a form of sequential importance sampling filter.

Baseline knowledge and profession predicted 35% of the variance in improved knowledge.

According to a likelihood ratio test, allowing heteroskedasticity of variance significantly improved the model (χ = 8.25— p = 0.04; df = 3).

When a heteroscedastic model was fitted in the first step (HET), results of likelihood-ratio tests indicated that fitting additive genetic effects at the level of the (log) residual variance significantly improved model fitting (P < 0.0001), compared to a situation in which only fixed effects were considered, for both GBW and YW and regardless of the source of information (males, females, or both).

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