The scree plot shows that the eigenvalue
of the first component is larger than that of the second, and that the second is larger than that of the third, and so on.
In recent years, different authors, among them Weinstock , Kuttler and Sigillito n Payne , Escobar [4, 5, 6], Wang and Xia [15, 16], Illias and Makloul  and Montano [9, 10, 11, 12] among others have dealt with the problem of finding geometrical estimates for the first eigenvalue
This eigenvector is referred to as the Perron vector and is associated with the maximum eigenvalue
of A (or of G).
We can see that the Leslie matrices corresponding to the data in Table I and Table II, respectively, have a real eigenvalue
that is larger than the others, which satisfies the conclusion of the Perron-Frobenius Theorem.
min] be the estimated maximum and minimum eigenvalue
of Cordoba et al and those generated randomly (100 replications) No.
As it is illustrated later, the second-order TC using (8) has a more clustered eigenvalue
distribution and consequently the resulting DDM has a better iterative convergence.
0000 Figure 6 Collinearity Diagnostics (intercept adjusted) Condition Number Eigenvalue
Index X1 X2 1 2.
d-1], its signed characteristic vector is an eigenvector of eigenvalue
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (Proposition 3.
The maximum and minimum eigenvalue
of the covariance matrix are obtained, which can be denoted as [[lambda].
In order to alleviate the underestimation problem, an enhanced eigenvalue
estimator is applied, which results in better estimations of the diversity gain and capacity, although the enhanced estimator is a bit mathematically involved.
Reanalysis methods estimate the eigenvalues
and eigenvectors of a modified design without performing a full-order eigenvalue