Examples of 'covariance' in a sentence
Meaning of "covariance"
A statistical measure that describes the extent to which two variables change together, commonly used in research and data analysis
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- A statistical measure defined as scriptstyle operatorname Cov(X,Y)= operatorname E((X-μ)(Y-ν)) given two real-valued random variables X and Y, with expected values scriptstyle E(X),=,μ and scriptstyle E(Y),=,ν.
- The conversion of data types from wider to narrower in certain situations.
How to use "covariance" in a sentence
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covariance
This covariance behavior is logical and expected.
It assumes that all covariance matrices are equal.
Covariance and contravariance is supported by both languages.
The compound symmetry covariance structure was used.
The covariance matrix might look like.
Two quasicanonicanalysis of covariance have been done.
F is the covariance matrix of the output channels.
Similar comments apply to the conditional covariance.
In this sense covariance is a linear gauge of dependence.
This group is referred to as the covariance group.
This is the covariance of the measurement noise.
The same notation applies to the covariance.
Let the covariance matrix of the noise be.
A more general identity for covariance matrices.
Covariance and correlation matrices are square symmetric matrices.
See also
Factor rotation in the analysis of covariance structures.
Covariance of return types in the subtype.
Statistical analysis was performed using analysis of covariance.
Random variables whose covariance is zero are called uncorrelated.
Q is the estimated receiver noise covariance matrix.
Many covariance models can be used.
It is also necessary to define a covariance matrix associated with w.
Covariance structure modelling with complex survey dataArchived.
A third concept related to covariance and contravariance is invariance.
See the article on general covariance.
The eigenvectors of the covariance kernel are easily determined.
The notion of variograms and covariance.
Phylogenetic analysis of covariance by computer simulation.
The covariance matrix is then defined as.
The diagonal elements of the covariance matrix are real.
An error covariance estimate provided by each of the systems.
There now follows a discussion of the speed covariance.
The just introduced covariance also has a disadvantage.
This method can be applied to empirical covariance matrices.
The matrix of covariance of the measurements vector is known.
Correlation is the scaled measure of covariance.
Is the covariance matrix for the measurement noise.
The verifications were tested by covariance analysis.
The covariance of the process noise.
This aim of this article is to explain covariance matrices.
Correlation and covariance of deterministic signals.
Correlation between reducibility and range of covariance of pores.
The covariance matrix is estimated as follows.
These flux measurements were based on a eddy covariance technique.
The magnitude of the covariance is not easily interpreted.
The diagonal is the variance of the covariance matrix.
Is the covariance matrix of the noise.
It is based on the average covariance of items.
The average covariance component is not significant in both cases.
All other values in the matrix are covariance values.
