Examples of using Covariance matrix in English and their translations into French
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Furthermore, estimates of covariance matrices that measure the correlations between fi nancial variables are not stable over time.
The Box test is used to test the assumption of equality for intra-class covariance matrices.
Question 3: Why is the covariance matrix considered to be a"power" representation?
The eigenvalues of the covariance matrix and the coherency matrix are real and are the same.
Note that the covariance matrix can also be used for this type of Bayes classification.
It is the analogue on the two-dimensional unit sphere of the bivariate normal distribution with an unconstrained covariance matrix.
This results in the covariance matrix, which also fully describes the scattering properties of the target target, Section 5-4.10.
all the elements in the covariance matrix have to be non-trivial functions of these unrestricted parameters.
it does not require imposing parameter restrictions; and, it results in a positive-definite covariance matrix.
Since the estimated covariance matrix of reduced-form residuals Σ is symmetrical, equation[6]
Since the covariance matrix will not be diagonal,
We apply the model to the covariance matrix of size-sorted stock returns and find that two factors are
The multivariate normal distribution is said to be"non-degenerate" when the symmetric covariance matrix Σ{\displaystyle{\boldsymbol{\Sigma}}} is positive definite.
A posteriori errors may be obtained from the estimated covariance matrix of the estimated depth parameters, which results from
Estimated covariance matrices of vectors of estimates could be singular
Parameter estimation is done by comparing the actual covariance matrices representing the relationships between variables and the estimated covariance matrices of the best fitting model.
C estimated covariance matrix.
Covariance Matrix Adapatation Evolutionary Strategy,
The Wishart distribution arises as the distribution of the sample covariance matrix for a sample from a multivariate normal distribution.
The Wishart distribution is the distribution of the covariance matrix of samples drawn from independent multinormal random vectors.