Noun:

ਗੁਣਾਂਕ,

covariances's Usage Examples:

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

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

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.

differences in intra-individual change over time by modeling the variances and covariances.

variables change together, and may refer to: Covariance matrix, a matrix of covariances between a number of variables Covariance or cross-covariance between.

to derive the theoretical properties, such as the mean, variance and covariances of quantities that would be observed, then the intermediate variables.

Although the values of the theoretical covariances and correlations are linked in the above way, the probability distributions.

} By a simple standard identity on covariances, we have 1 cov ⁡ ( m ~ , R ~ ) + E ( m ~ ) E ( R ~ ) .

interpolated values are modeled by a Gaussian process governed by prior covariances.

normally distributed disturbances with zero means, finite and constant covariances, a nonsingular covariance matrix, and serial independence; 10.

commonly used to test the assumption of homogeneity of variances and covariances in MANOVA and linear discriminant analysis.

Synonyms:

variance,

Antonyms:

changelessness, sameness,