The phrase "a single variance" is correct and usable in written English.
It can be used in contexts where you are discussing a specific deviation or difference from a standard or norm, often in statistical or analytical discussions.
Example: "In our analysis, we found a single variance that significantly impacted the overall results."
Alternatives: "one deviation" or "a solitary variation".
The single heaviest demand on the actors, though, was that they should be word perfect, with not a single variance from Beckett's text.
The term Ω1 is used to represent the covariance matrix at level one and comes with a single variance term at level one.
At the simplest level, deviations for each animal are univariate Normal with a single variance
Even in data-limited situations, the assumption of a single variance term across diet components is reasonable when using the CLR transformation because dividing by the geometric mean places diet components on similar scales.
A single variance was estimated for this effect.
The BLUP method is usually practiced using a single variance parameter to model the variation of all genes.
For simplicity, we here describe the LR test for a single-variance component model, leaving the two-component model for the Supplementary Methods.
In the "Global" model, the values within the i = 1…5 cortical patches, q i, representing the smoothed, interpolated F-statistic values from the suprathreshold fMRI clusters (see Fig. 3), were summed and binarized [Eq. (1)] to create a single-variance component [Eq. (3b)].
A spatial over-smoothing of 10−4 (variance smoothing = 1, i.e. a single common variance for all variables) was chosen for the LORETA transformation matrix.
This leads to the block-diagonal residual variance structure given by Equation 11, which has a single residual variance, a covariance between group mates of the same family and a second covariance between group mates of different families.
This is called a variance components model because it shows how, in a single model, variance in size is decomposed into between-child differences (i.e., ) and within-child differences over age or residual error (i.e.e ).e
