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covariance::noun | Spocien Dictionary
| Type | Words |
|---|---|
| Type of | variance |
| Derivation | co-vary, covariant, covariation |
Examples of covariance
covariance
Significance tests and goodness of fit in the analysis of covariance structures.
From the en.wikipedia.org
Any strictly stationary process which has a mean and a covariance is also WSS.
From the en.wikipedia.org
The covariance matrix encodes the mutual variance of several random variables.
From the en.wikipedia.org
The result is a filter which more accurately captures the true mean and covariance.
From the en.wikipedia.org
I may not understand it yet, but covariance and outliers are familiar terms.
From the telegraph.co.uk
While there is a unique covariance, there are multiple co-skewnesses and co-kurtoses.
From the en.wikipedia.org
Each axis on a PCA plot is an eigenvector of the covariance matrix of shape variables.
From the en.wikipedia.org
Heritability is a measure derived from covariance between relatedness and some phenotype.
From the scienceblogs.com
In this case, the covariance estimates do not have full rank, and so cannot be inverted.
From the en.wikipedia.org
- (statistics) the mean value of the product of the deviations of two variates from their respective means
- In category theory, a branch of mathematics, a functor is a special type of mapping between categories. Functors can be thought of as homomorphisms between categories, or morphisms in the category of small categories.
- Covariance may refer to: * Covariance, a measure of how much two variables change together * Covariance matrix, a matrix of covariances between a number of variables * Cross-covariance, the covariance between two vectors of variables * Autocovariance, the covariance of a signal with a time- ...
- A statistical measure defined as given two real-valued random variables X and Y, with expected values and
- The tendency of two elements (variables) to exhibit similar variances, while not necessarily establishing a cause and effect relationship.
- The impact of one variable upon others in the same group.
- Multiplies the deviation of each variable from its mean, adds those products and then divides by the number of observations.
- The extent of a relationship between two variables, whereby a change in one variable implies a change in the other.
- As opposed to contravariance; we say that a language applies the covariance rule if, when an inherited method is redefined, the argument types or the result type can be replaced by a more specific type. ...
