Sentence examples for multiple correlation matrices from inspiring English sources
The GLLMM regression model was tested with multiple correlation matrices, and was confirmed with a generalized estimating equation.
Metrics found to be linked to human pressures using ANCOVA and multiple correlation matrix were selected to be included in the index.
Small multiples of chromosomal genetic correlation matrices from which nonsignificant values have been excluded can be used to identify interesting patterns of association among traits, such as that on chromosome 18 associated with calving traits, conformation, and economic merit.
The other one is an adaptive algorithm that exploits the decorrelation of the atrial and other signals diagonalizing the correlation matrices at multiple lags of the period of atrial activity.
Linear regressions, Pearson's correlations and contingency-table analyses were conducted as necessary (tests involving correlation matrices were corrected for multiple comparisons).
To perform multiple correlation analyses we created different pairwise distance matrices.
The Holm's sequential Bonferroni procedure for multiple tests [ 41] was adopted in large correlation matrices and for the W-BQ12 and its subscales.
In all the 75 families, the bilinear multiple correlation coefficients and their medians are significant (p<0.01) using different similarity matrix (BLOSUM50, BLOSUM62 or BLOSUM80) [30] (Table 1).
PCA explores multivariate patterns of all forest patch types versus spatial processes based on correlation matrices and frames clusters and relates spatial heterogeneity among variables correlated with one another and responsive to multiple principal components (PC).
This paper describes how these correlations are transferred into correlation matrices and then propagated over the entire production chain by means of multiple domain matrices (MDM).
Before conducting multiple regression analyses, we examined all predictor variables for cross-correlations and multicollinearity by evaluating correlation matrices and inverse correlation matrices of each set of predictor variables.
