Abstract
This chapter presents basic and more far-reaching definitions and theorems in matrix algebra, being useful for the understanding of the results in this book. Proofs are omitted here. More comprehensive treatments of this topic with an emphasize on a statistical background are given in [50, 88, 91]. In addition, [59, 78, 133] provide beneficial presentations of the theory on matrices. A collection of useful results from different areas of matrix algebra is given in [73].
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© 2003 Springer-Verlag Berlin Heidelberg
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Groß, J. (2003). Matrix Algebra. In: Linear Regression. Lecture Notes in Statistics, vol 175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55864-1_7
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DOI: https://doi.org/10.1007/978-3-642-55864-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40178-0
Online ISBN: 978-3-642-55864-1
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