The phrase "about the variance of" is correct and usable in written English.
It can be used when discussing differences or changes in a particular variable or set of data.
Example: "The report provides detailed insights about the variance of the sales figures over the past year."
Alternatives: "regarding the variation in" or "concerning the differences in".
In Figure 8, some results have been shown about the variance of the channel estimation error (EEV).
However, sample size projections dealing with AUCs are very sensitive to assumptions about the variance of the empirical AUC estimator, which depends on two correlation parameters.
However, the eigenvalue of a principal component gives a fairly good idea about the variance of the original variables that can be explained by the principal component.
The most important property of these time series is that they are mutually uncorrelated, carrying information about the variance of the data set along the directions e j.
It makes a priori assumptions about the variance of the sampling error that would not usually be made and does so in a way that violates an important property of the Kalman filter.
The maximum likelihood decoding in this case is equivalent to the selection of one of two hypotheses about the variance of the Gaussian probability distributions having the same mean.
The top twenty of these, explaining 99.33% of the variance in the covariance matrix (or about 96% of the variance of covariance before low variance reactions were removed), were rotated using the orthogonal varimax rotation procedure [ 39].
Analyzing twin pairs, Pajala et al. [ 13] concluded that about half the variance of measured walking speed derived from the environment and the methodology of walking tests.
The spectral heterogeneity was found to explain about 20% of the variance of species richness at the 100 m2 scale and about 50% at the 1 ha scale.
Together, they are responsible for about 75% of the variance of GHG performances over the sample of studied configurations.
On the other hand, the binary logit regression model explained about 70.6% of the variance of local people's knowledge on the adverse impacts of Eucalyptus woodlot.
