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Exact(6)
[11] investigated the Stein-rule prediction for δ in linear regression model when the error covariance matrix was positive definite yet unknown.
In addition, the subchondral bone matrix was positive in the two reactive specimens.
In most specimens with mixed or fibrocartilage morphology, 50% or more of the matrix was positive (Fig. 3; Table 5).
A small value of 10−4 was added to the diagonal elements of G in order to secure that the matrix was positive definite.
As in the IBS relationship matrix, a small value was added to all diagonal elements to secure that the matrix was positive definite.
In contrast, interterritorial matrix was positive in only 43% (3/7) of less affected areas, whereas a marked increase and intensive staining was observed in more affected regions (100%; 9/9; Figure 2q).
Similar(54)
However, neither the inter-item correlation matrix nor the inter-factor correlation matrix was positive-definite, which suggests that the proposed model is wrong for the data or the data are inadequate for the model[ 22].
Hence, the given matrix is positive semidefinite.
so the matrix is positive semi-definite.
Assume that matrix is positive definite.
Because all eigenvalues are positive, matrix is positive definite.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com