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The population covariance matrix,, was structured such that all variables had a variance of and a correlation among the first 5 variables within the first 10 variable groups of.
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In the marginal model, it is popular to fit the vector of parameters, β, using the Generalized Estimating Equations (GEE) proposed by Liang and Zeger [ 10] wherein the covariance matrix is structured by using a working correlation matrix R fully specified by the vector of parameters, α.
Toeplitz and Hankel matrices are structured matrices used for compressive wide-band spectrum sensing schemes [47, 48] and for direction of arrival estimation [49].
The textual data was structured in matrices, with column for different thematic areas, and rows that illustrated the themes.
Textual data was structured in matrices with rows for the thematic areas, this allowed for comparison of statements among the respondents.
Although the certainty matrix reconstruction accuracy is not as high as random matrix, the certainty matrix can be structured quickly and easily for hardware implementation.
According to this, in both scenarios, we want to estimate a BES matrix which is structured sparse and low rank, with its rank equal to the number of MAS simulated.
Then, the parameter vector p and the stoichiometric matrix S can be structured correspondingly as p = [ p I p D ] and S = [ S I S D ].
Because the Jacobian matrix is very structured, the characteristic polynomial of the Jacobian matrix is simple and suitable for analytical analysis.
Hence, exploiting the fact that the covariance matrix is Toeplitz structured, one can average along the secondary diagonals in order to obtain a set of more accurate estimates for the cross-covariances.
They consisted of highly inhomogeneous structures and the matrix was full of loosely structured grains representing fly ash.
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