Sentence examples for matrix of covariance from inspiring English sources

(S^{-1}) is the inverse matrix of covariance between two variables and it is square matrix with order two.

(S^{-1}) is the inverse matrix of covariance between two variables times ((lambda /2-lambda)) and it is square matrix with order two.

The full covariance model simultaneously estimates a matrix of covariance parameters (φ; Fig.  2a, d blue lines) for all pairwise relationships among independent genes.

In order to distinguish that concept from the "covariance" of a random vector X, which is understood to be the matrix of covariance between the scalar components of X.

The algorithm simply reads the matrix of covariance between founders of the pedigree as input data, and computes the IBD relationship of the last generations as a function of the given founder population structure.

An implementation of the method described here was integrated in COPASI, comprising a new LNA task that, using the linear noise approximation (see Methods), generates as output a matrix of covariance estimates between all the species' particle numbers in a given biochemical model (see Figure 1).

The covariance matrix or dispersion matrix is a matrix of covariances between elements of a vector, and naturally generalizes to higher dimensions the concept of the variance of a scalar variable.

Matrix of covariances, correlation coefficients, and posterior probabilities for maximal male SVL, range size estimates and synonymous substitution rate Ds obtained with CoEvol.

The objective in estimating the factor model is to find estimates of the latent factors and errors that reproduce the sample matrix of covariances as closely as possible.

Consequently, the paternal contribution to the additive genetic relationship between full-sibs differs from that between half-sibs, which results in a block diagonal D matrix of covariances between Mendelian sampling terms.

The method relies on the construction of a matrix of covariances among founders (the so-called IBD probabilities), say H, based on identity of state among markers; these IBD probabilities are derived following approximate coalescent models [ 8, 9, 38, 39].