Noun:

ਗੁਣਾਂਕ,

covariance's Usage Examples:

variables whose covariance is the identity matrix, meaning that they are uncorrelated and each have variance 1.

Conceptually it is a function of the sample size and the difference between the observed covariance matrix and the model covariance matrix.

T W Σ − 1 {\displaystyle W^{\mathrm {T} }W\Sigma ^{-1}} yields the whitened random vector Y {\displaystyle Y} with unit diagonal covariance.

{\displaystyle \sigma _{X}^{2}} consists of item variances and inter-item covariances.

{C}}W_{3}^{-1})\right]} {\begin{bmatrix}d"0"0"0"d"0"0"0"d\\\end{bmatrix}}} The vectorised covariance is C o v [ v e c ( C W p − 1 ) ] b ( I p ⊗ I p ) + c v e.

The matrices below are covariances when there are just three observations across time.

}}_{\mathbf {y} }}{n_{x}+n_{y}-2}}} is the unbiased pooled covariance matrix estimate (an extension of pooled variance).

the sense of mean (but not variance/autocovariance), where an initial differencing step (corresponding to the "integrated" part of the model) can be applied.

In Bayesian statistics, the Wishart distribution is the conjugate prior of the inverse covariance-matrix of a multivariate-normal.

that the class covariances are identical, so Σ 0 Σ 1 Σ {\displaystyle \Sigma _{0}\Sigma _{1}\Sigma } ) and that the covariances have full rank.

distributions and the expectations (or expected values), variances and covariances of such combinations.

{\displaystyle \mathbf {X} } , which is understood to be the matrix of covariances between the scalar components of X {\displaystyle \mathbf {X} } itself.

Synonyms:

variance,

Antonyms:

changelessness, sameness,