Matrix Algebra From a Statistician’s Perspective
David A. Harville ()
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David A. Harville: IBM T.J. Watson Research Center, Mathematical Sciences Department
in Springer Books from Springer
Date: 1997
ISBN: 978-0-387-22677-4
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Citations: View citations in EconPapers (18)
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Chapters in this book:
- Erratum
- David A. Harville
- Matrices
- David A. Harville
- Submatrices and Partitioned Matrices
- David A. Harville
- Linear Dependence and Independence
- David A. Harville
- Linear Spaces: Row and Column Spaces
- David A. Harville
- Trace of a (Square) Matrix
- David A. Harville
- Geometrical Considerations
- David A. Harville
- Linear Systems: Consistency and Compatibility
- David A. Harville
- Inverse Matrices
- David A. Harville
- Generalized Inverses
- David A. Harville
- Idempotent Matrices
- David A. Harville
- Linear Systems: Solutions
- David A. Harville
- Projections and Projection Matrices
- David A. Harville
- Determinants
- David A. Harville
- Linear, Bilinear, and Quadratic Forms
- David A. Harville
- Matrix Differentiation
- David A. Harville
- Kronecker Products and the Vec and Vech Operators
- David A. Harville
- Intersections and Sums of Subspaces
- David A. Harville
- Sums (and Differences) of Matrices
- David A. Harville
- Minimization of a Second-Degree Polynomial (in n Variables) Subject to Linear Constraints
- David A. Harville
- The Moore-Penrose Inverse
- David A. Harville
- Eigenvalues and Eigenvectors
- David A. Harville
- Linear Transformations
- David A. Harville
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-0-387-22677-4
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DOI: 10.1007/b98818
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