covariance

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co·var·i·ance

 (kō-vâr′ē-əns)
n.
A statistical measure of the tendency of two random variables to vary in the same direction (called positive covariance) or in an opposite direction (called negative covariance) over many observations. Covariance is equal to the summed products of the deviations of corresponding values of the two variables from their respective means.

covariance

(kəʊˈvɛərɪəns)
n
(Statistics) statistics a measure of the association between two random variables, equal to the expected value of the product of the deviations from the mean of the two variables, and estimated by the sum of products of deviations from the sample mean for associated values of the two variables, divided by the number of sample points. Written as Cov (X, Y)

co•var•i•ance

(koʊˈvɛər i əns)

n.
(in statistics) the value of the product of the standard deviations of two given variants and their correlation coefficient.
[1875–80]
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.covariance - (statistics) the mean value of the product of the deviations of two variates from their respective means
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
variance - the second moment around the mean; the expected value of the square of the deviations of a random variable from its mean value
References in periodicals archive ?
To measure how ecosystems exchange carbon and water with the atmosphere, Fluxnet stations rely on state-of-the-art micrometeorological tools and a standard method, called the eddy covariance method.
On the other hand, conventional bottom-up estimates of surface carbon fluxes are obtained from field measurements--for example, employing the eddy covariance method and assessing ecosystem carbon stock change at biome-representative sites and subsequently scaled up to the entire region of interest.
The difference of the covariance method is that matrices in calculations aren't Teoplitz matrices.