Sentence examples for full variance from inspiring English sources

Many cases hinge on owners' ability to show that they would face an economic hardship without a variance, and only a small return if they receive the full variance they seek.

According to this principle, the full variance of the model output is given by the sum of the variances of all input factors (Saltelli et al. 2008).

Since the full variance matrix is relatively complicated, one then often uses one type of precision that is a function of the variance matrix, like error ellipse, mean square positional error (MSPE), instead of variance matrix itself.

Each dynamical mechanism provides only half of the full variance for the hb border, but in two adjacent spatial domains.

Most measured variances will lie below this underlying value, as small samples typically do not capture the full variance of a population.

If A c is the matrix whose rows are given by, and using the ideas in [ 22, 26], our weights are given by (10) the diagonal elements of the inverse of the full variance matrix of the persistency estimates.

However, it is now difficult to retrieve the full variance-covariance matrix, so that the variance-covariance matrix is often assumed as a diagonal matrix for simplicity.

Incorporation of a full variance-covariance matrix characterizing the correlations between the transition rate parameters markedly improved the fit of the model to the data (decrease in OFV of 338 units) and the simulation performance of the model.

An exact analysis requires carrying the full variance-covariance matrix of design × treatment means forward and specifying this as the residual variance-covariance matrix of the model fitted at the second stage [ 14].

R, the percent of variance explained by the fixed effects in the model, is estimated by 1 – (estimated total variance for full model/estimated total variance for reduced model), where the reduced model contains only the intercept.

The first PCA axis in the analysis of e.g. B. perennis already explained approximately 60% of the total variance allowing a full separation of the samples according to increasing species richness of the experimental plant communities.