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G-inverses of matrix products
Werner, Hans-Joachim - 1992 - Reprint
Persistent link: https://www.econbiz.de/10000858340
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A microcomputer program for analyzing multitrait-multimethod matrices
Hayashi, Toshi; Hays, Ron D. - 1987
Persistent link: https://www.econbiz.de/10000759389
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Handbook of matrices
Lütkepohl, Helmut - 1996
Persistent link: https://www.econbiz.de/10000593118
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Linear algebra
Edwards, Harold M. - 1995
Persistent link: https://www.econbiz.de/10000426276
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Minimax algebra
Cuninghame-Green, Raymond A. - 1979
Persistent link: https://www.econbiz.de/10000064299
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Generalized inverse matrices
Boullion, Thomas L.; Odell, Patrick L. - 1971
Persistent link: https://www.econbiz.de/10000036860
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Iterative solution of large linear systems
Young, David; Young, David M. - 1971
Persistent link: https://www.econbiz.de/10000050043
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Theory of matrix algorithms
Brucker, Peter - 1974
Persistent link: https://www.econbiz.de/10000053105
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α-stable [Alpha-stable] random vectors with time varying spectral measure and applications to financial time series analysis
Hartz, Christoph - 2008 - 1. Aufl.
Persistent link: https://www.econbiz.de/10003716514
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Sylvester matrix and common factors in polynomial matrices
Wegge, Leon L. (contributor) - 2007
With the coefficient matrices of the polynomial matrices replacing the scalar coefficients in the standard Sylvester matrix, common factors exist if and only if this (generalized) Sylvester matrix is singular and the coefficient matrices commute. If the coefficient matrices do not commute, a...
Persistent link: https://www.econbiz.de/10003728031