covariance मीनिंग इन हिंदी

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अधिक: आगे

Furthermore, let the covariance matrix be denoted by \ Sigma.
When the covariance is normalized, one obtains the correlation coefficient.
Sensible heat flux is commonly measured with the eddy covariance method.
These covariance matrices are computed by inverting the obtained information matrices.
Furthermore, covariance is negative, allowing for initial variance reduction.
To reveal the correlations we need to calculate the covariance map:
Also let \ Sigma be the covariance matrix of X.
The magnitude of the covariance is not easy to interpret.
In this sense covariance is a linear gauge of dependence.
Covariances play a key role in financial economics, especially in diversification.

संज्ञा.

(statistics) the mean value of the product of the deviations of two variates from their respective means