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The system is described by the bivariate matrix polynomial fraction.
Differences in bivariate matrix structure across environments was tested using Flury's hierarchical common principal components (CPC) analysis, using the "jump-up approach" and Fisher's Z-test [ 59- 61].
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Here the paraunitary constraint is imposed on the bivariate polynomial matrix factorization algorithm of Guiver and Bose (1982), and an atomic factor ization problem is formulated to relate the existing results and get new results.
The choice of predictive variables was made using a bivariate correlation matrix.
Bivariate correlation matrix of glucose and lactate levels in the first 15 hours of postoperative intensive care unit (ICU) stay.
Bivariate correlation matrix of the obtained data was done using SPSS software program (ver. 8) as described [ 20].
The choice of independent or predictive variables was made using a bivariate correlation matrix and Kendall's Tau-b correlation coefficient was used.
After reviewing the bivariate correlation matrix, the correlation between exogenous variables motor functional independence and cognitive functional independence was statistically significant (0.530, P < 0.01).
A bivariate intercorrelation matrix between the scores for all items in the CSAS showed positive correlations at a 0.05-level or higher (Spearman's rho mainly between 0.2 and 0.4) for all pairs of items.
Collinearity was assessed by examination of bivariate scatterplots, correlation matrix, mean and individual variance inflation factors, and conditional numbers.
We present the bivariate Pearson correlation matrix between ToM and various domains of intelligence in Table 3.
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