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Matrix algebra / Karim M. Abadir, Jan R. Magnus.

By: Contributor(s): Material type: TextTextSeries: Econometric exercisesPublisher: Cambridge : Cambridge University Press, 2005Description: 1 online resource (xxx, 434 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511810800 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 512.9/434 22
LOC classification:
  • QA188 .A195 2005
Online resources:
Contents:
1. Vectors -- 2. Matrices -- 3. Vector spaces -- 4. Rank, inverse, and determinant -- 5. Partitioned matrices -- 6. Systems of equations -- 7. Eigenvalues, eigenvectors, and factorizations -- 8. Positive (semi)definite and idempotent matrices -- 9. Matrix functions -- 10. Kronecker product, vec-operator, and Moore-Penrose inverse -- 11. Patterned matrices : commutation- and duplication matrix -- 12. Matrix inequalities -- 13. Matrix calculus.
Summary: Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix algebra that students are expected to know while enrolled in an (advanced) undergraduate or a postgraduate course in econometrics or statistics. The book contains a comprehensive collection of exercises, all with full answers. But the book is not just a collection of exercises; in fact, it is a textbook, though one that is organized in a completely different manner than the usual textbook. The volume can be used either as a self-contained course in matrix algebra or as a supplementary text.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

1. Vectors -- 2. Matrices -- 3. Vector spaces -- 4. Rank, inverse, and determinant -- 5. Partitioned matrices -- 6. Systems of equations -- 7. Eigenvalues, eigenvectors, and factorizations -- 8. Positive (semi)definite and idempotent matrices -- 9. Matrix functions -- 10. Kronecker product, vec-operator, and Moore-Penrose inverse -- 11. Patterned matrices : commutation- and duplication matrix -- 12. Matrix inequalities -- 13. Matrix calculus.

Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix algebra that students are expected to know while enrolled in an (advanced) undergraduate or a postgraduate course in econometrics or statistics. The book contains a comprehensive collection of exercises, all with full answers. But the book is not just a collection of exercises; in fact, it is a textbook, though one that is organized in a completely different manner than the usual textbook. The volume can be used either as a self-contained course in matrix algebra or as a supplementary text.

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