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To test for significant correlation between matrices, we specified 10 000 random permutations.
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Next, in brainstorming sessions, using the matrices and other research findings, we specified six performance objectives with regard to two determinants: (a) awareness and knowledge about the communication behaviour, and (b) and communication skills.
For GEE models, we specified an exchangeable correlation matrix.
To test for noncanonical responses we specified an F-contrast matrix testing for an effect that could be explained by the Fourier set regressors.
First, we present the design of { T ( u r ) } and thus the coding matrix M. In a second step (Equation (20)), we specify the matrices H u r and H u s u r and we will prove that the scalability and the diversity order of three are achieved.
Motivated by empirical findings, as outlined in Sect. 1, we specify a pick matrix that models the negative effect of sentiment on subsequent returns.
Another application is to the construction of test matrices with specified singular values.
Examples are given through providing with four tridiagonal matrices with specified multiple eigenvalues.
One of the important problems in linear algebra is to construct matrices with specified eigenvalues.
Expectations for covariance matrices were specified for each sibship and children of twins family type based on the equations in Table 4.
If migration matrices were specified, then the script assumed that the first population listed was the population in which discovery was performed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com