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  • Matrices.- Submatrices and Partitioned Matrices.- Linear Dependence and Independence.- Linear Spaces: Row and Column Spaces.- Trace of a (Square) Matrix.- Geometrical Considerations.- Linear Systems.- Consistency and Compatibility.- Inverse Matrices.- Generalized Inverses.- Idempotent Matrics.- Linear Systems.- Projections and Projection Matrics.- Determinants.- Linear, Bilinear, and Quadratic Forms.- Matrix Differentiation.- Kronecker Products and the Vec and Vech Operators.- Intersections and Sums of Subspaces.- Sums and Differences of Matrics.- Minimization of a Second-Degree Polynomial (in N Variables) Subject to Linear Constraints.- The Moore-Penrose Inverse.- Eigenvalues and Eigenvectors.- Linear Transformations. (xsd:string)
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  • 2008 (xsd:gyear)
?:datePublished
  • 2008 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 9780387783567 ()
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  • Matrix algebra from a statistician's perspective (xsd:string)
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  • Buch (de)
  • Monographie (xsd:string)
  • book (en)
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  • GESIS-BIB (xsd:string)
  • New York: Springer, 2008.- 634 S. (xsd:string)
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