Linear Algebra and Matrix Analysis for Statistics.
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Author / Creator: | Banerjee, Sudipto. |
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Imprint: | Hoboken : CRC Press, 2014. |
Description: | 1 online resource (578 pages) |
Language: | English |
Series: | Chapman & Hall/CRC Texts in Statistical Science Chapman & Hall/CRC Texts in Statistical Science. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13636557 |
Summary: | Assuming no prior knowledge of linear algebra, this self-contained text offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book covers important topics in linear algebra that are useful for statisticians, including the concept of rank, the fundamental theorem of linear algebra, projectors, and quadratic forms. It also provides an extensive collection of exercises on theoretical concepts and numerical computations. |
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Physical Description: | 1 online resource (578 pages) |
ISBN: | 9781482248241 1482248247 |