Sentence examples for matrix and variance from inspiring English sources

We checked the multicollinearity with the correlation matrix and variance inflation factor (VIF).

We develop a highly efficient Markov Chain Monte Carlo (MCMC) algorithm that allows for Bayesian variable selection among the regressors to model both the mean (i.e., the design matrix) and variance.

Spherical representations of a correlation matrix and variance inflation factors (VIF) were used to identify correlations and co-linearity between covariates and explanatory variables.

The aim of this section is to derive the marginal expectation and variance of the test statistics, by integrating over the distribution of genotypes and the variance components of the random polygenetic effects, given the relationship matrix and variance components of the true model.

Among these methods, correlation matrices and variance inflating factor (VIF) technique is commonly used.

The likelihood function can be penalized to improve estimation of covariance matrices and variance components by shrinking sample eigenvalues towards a given value [ 42], a property that can be enforced through the prior distribution.

SM-GBLUP uses the genomic relationship matrix G T, and variance components were estimated within the data (since the variance components in Table  1 do not apply to DYD).

We chose unweighted least squares (ULS) estimation based on polychoric correlation matrices and variance-adjusted estimation methods to improve the precision of our estimates given these skewed categorical data [ 20, 22].

Then, the conditional mean of g given P is null and the conditional covariance matrix is: where A is the additive relationship matrix, and the variance is computed over the conditional distribution of T. Using this variance for g in setting up the MME for equation (3) results in the usual non-genomic MME for the BVM.

The estimators require knowledge of the system matrix, the observation matrix and the variance of the state vector.

Designs were evaluated on the basis of the determinant of this matrix and the variance of the estimated trend parameter.