Sentence examples for absence of variance from inspiring English sources

Chi-square analyses were performed on each CNV of interest in each cohort versus control based on the presence or absence of variance.

Both characteristics of our method (independence of long and short term variations and absence of variance reduction) are particularly pertinent to discuss as well the long term variations of temperature as their extreme values.

This is because of the absence of variance data between clusters and our interest of having a more precise estimate [ 27, 28].

An absence of any variance in the exploration of the two objects was interpreted as memory deficit [ 56].

For each SNP ideal performance (absence of technical variance) would result in zero-width peaks (i.e. sum of squares = 0).

We also ran LR and HHCRF on the 'clean' versions (without microarray measurement noise) of the datasets (the other models were omitted since sparsity and smoothing became irrelevant in the absence of noise variance).

Data from laboratory-based studies suggest the potential for evolutionary responses for stress traits desiccation and cold resistance for widespread species, while an absence of genetic variance in tropical species suggests constraints to evolutionary change.

The value of R and S are therefore readily obtained in this case: W ¯ = ∫ ℝ W (z ) f (z ) d z = 1 2 π exp (− μ 2 2 (σ E 2 + σ W 2 ) ) σ E 2 + σ W 2 (22) R = 0 (23) S = 1 W ¯ ∫ ℝ z W (z ) f (z ) d z = μ σ E 2 σ W 2 + σ E 2 (24)As expected, in the absence of genetic variance, there is no response to selection.

For the meta-analysis, the most common problems resulting in exclusion of otherwise relevant experiments were issues with the experimental design, and the absence of statistics (variances and replicates).

The Mann-Whitney U test was employed for cytokine comparison purposes, since the Saphiro Wilk test evidenced absence of normal distribution of the data, and the Levene test demostrated absence of homogeneity of variance in both MV and NMV groups.

The Mann-Whitney U test was employed for cytokine comparison purposes, since the Saphiro Wilk test evidenced absence of normal distribution of the data, and the Levene test demonstrated absence of homogeneity of variance in both MV and NMV groups.