Examples of covariance

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All other covariances have been fixed at zero.
The covariance of the residuals and mean values of residuals are used to decide the degree of divergence.
However, it has some limitations by the resemblance between local maps and the covariance of robot position.
The error covariance matrix followed a similar path as the first procedure indicating a good estimate of the uncertainties.
Furthermore, the correlated genetic factors account for 46 % and 53 % of the total covariance in males and females respectively.
This last term, the covariance term, incorporates the covariance between the parameter estimate and the current realization of the exogenous dividend.
A key point that emerges from our analysis is what we refer to as the covariance effect.
This section determines which is a function of the covariances of (14).
We refer to this effect as the covariance effect.
We also performed analyses of covariance that included all factors independently associated with outcome.
Bootstrapping techniques in the analysis of mean and covariance structures.
In this situation, estimates and standard errors from the multi-level models are the same as for the analyses of covariance.
But not only covariance was misunderstood; the definition of a singularity, for example, was also a major problem for relativists.
Variance and covariance components were used to estimate heritabilities and genetic correlations.
First, the resulting covariance function is typically quite ' wiggly ' - a behaviour that is generic to higher-order polynomials.
327 when we considered the possibility of genetic covariance between parameters.
Three situations were considered with regard to the covariance between experiments.
From a statistical standpoint, functional mapping strives to jointly model mean and covariance structures for a longitudinal trait.

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