Sentence examples for variance by each from inspiring English sources

Section 5 analyzes the complexity and the memory that is required to estimate the variance by each method.

For additive effects, the explained phenotypic variance by each QTL effect is (1/2 a/Vp) × 100; for dominance effects this is given by (1/4 d 2 /Vp) × 100, and for imprinting effects by (1/2 i2/Vp) × 100.

We present the change in determination coefficient (ΔR) for each component in the model, i.e. the contribution of explained variance by each variable; the unstandardised beta-value with 95% CI, and the standardised beta-value.

The explained genetic variance (as percentage of the total genetic variance) was calculated as: % explained genetic variance by each QTL = 100 × [1 – (genetic variance in the model with QTL/genetic variance in model without QTL)].

Variance is the percentage variance explained by each factor and cumulative variance is the percentage variance explained by all the three factors together.

GC-MS data were scaled to unit variance by dividing each variable by 1/ Sk).

Then, we calculated the relative efficiency for each model by dividing the null model variance estimate by each model's variance estimate, following Næsset et al. (2016).

Variance is the percentage variance explained by each component.

The percentage of the variance contributed by each source of variation for ethanol yield was estimated by calculation of variance components (Table 2).

Table 4 also shows the eigenvalues, the percentage variance explained by each function, the cumulative percentage variance explained and canonical correlation (R).

For each trait, the proportion of total variance explained by each factor was calculated as percentage by variance component (VC) analyses in the corresponding models described above.