Sentence examples for common variance from inspiring English sources

The concept of optimum common variance (OPTCV) design having the smallest common variance in Dn,m is also introduced.

Still, residual analysis showed unique common variance within the social memory domain.

Unknown means parameters and common variance as a scale parameter are estimated from training sample.

The smaller the common variance, the better the CV designs for the model identification.

CV designs in Dn,m have possible unequal values for the common variance.

complex Gaussian random variables with zero mean and a common variance δi*.

Minimum rank factor analysis estimates the percentage of common variance explained by an EFA model.

However, these four factors explain too little common variance (i.e., about 80%) to be an adequate measurement model.

This is accomplished through the development of a convergent stochastic approximation form of estimator for the common variance value.

According to Kim [37], PCA or LDA analyzes all of the variance of the set of variables (common variance and unique variance), whereas FA analyzes only common variance (correlation) of the set of variables.

We also suggest that the common variance parameter, σ = 0.215, used by Nishenko is probably too small.