Sentence examples for variances dependent from inspiring English sources

Furthermore, in [26] the dependency of (p_{bar {e}}left (bar {e}=s-hat {s}^right)) on (hat {s}^) was investigated revealing different shapes and variances dependent on the amplitude of (hat {s}^), while (hat {s}^=s^) was assumed there.

Standard statistical summaries (e.g. medians and ranges or means and variances, dependent on the distribution of the outcome) and graphical plots showing correlations will be presented for the primary outcome measure and all secondary outcome measures.

Standard statistical summaries (eg, medians and ranges or means and variances, dependent on the assumed distribution of the outcome) and graphical plots showing correlations, will be presented for the primary outcome measure and all secondary outcome measures.

Standard statistical summaries (eg, medians and ranges or means and variances dependent on the distribution of the outcome) and graphical plots showing correlations will be presented for the primary outcome measure and all secondary outcome measures.

However, inconsistencies in miRNA yield and sample-to-sample variance, dependent on RNA extraction, have been reported [ 10, 15, 16].

Because version 6.0.2 calls variance dependent on linkage, two adjacent CpG sites would be measured as the same level of methylation, or cytosine frequency.

A schematic overview of this reconstruction method is given in Figure 6. Figure 6 (a) Overview of the HDR reconstruction algorithm, (b) weighting functions used for HDR reconstruction (for the proposed method, the variance-dependent weight σ −2 ( E i, Δ t j ) is included in this comparison).

The kriging variances are dependent on the number and the density of the available gauged data locations.

Student t-test and test for two variances for dependent two samples were used.

Because Poisson variance is dependent upon sequencing depth, while non-Poisson variance is not, it is useful to separate out these two components in order to ensure a more accurate calculation of the variance.

aWe say the optimum detection when the noise variance is dependent on the input bits, and sub-optimum when the noise variance is independent of the input bits.