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Linear algebra and matrix analysis f...
~
Banerjee, Sudipto.
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Linear algebra and matrix analysis for statistics /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Linear algebra and matrix analysis for statistics // Sudipto Banerjee, Anindya Roy.
Author:
Banerjee, Sudipto.
other author:
Roy, Anindya,
Published:
Boca Raton :CRC Press, Taylor & Francis Group, : 2014.,
Description:
xvii, 565 p. :ill. ;25 cm.
Notes:
"A Chapman & Hall book.".
Subject:
Algebras, Linear. -
ISBN:
9781420095388
Linear algebra and matrix analysis for statistics /
Banerjee, Sudipto.
Linear algebra and matrix analysis for statistics /
Sudipto Banerjee, Anindya Roy. - Boca Raton :CRC Press, Taylor & Francis Group,2014. - xvii, 565 p. :ill. ;25 cm. - Chapman & Hall/CRC texts in statistical science series..
"A Chapman & Hall book.".
Includes bibliographical references (pages 555-557) and index.
Linear algebra and the study of matrix algorithms have become fundamental to the development of statistical models. Using a vector-space approach, this book provides an understanding of the major concepts that underlie linear algebra and matrix analysis. Each chapter introduces a key topic, such as infinite-dimensional spaces, and provides illustrative examples. The authors examine recent developments in diverse fields such as spatial statistics, machine learning, data mining, and social network analysis. Complete in its coverage and accessible to students without prior knowledge of linear algebra, the text also includes results that are useful for traditional statistical applications.
ISBN: 9781420095388GBP49.99
LCCN: 2014004884Subjects--Topical Terms:
521915
Algebras, Linear.
LC Class. No.: QA184.2 / .B36 2014
Dewey Class. No.: 512/.5
Linear algebra and matrix analysis for statistics /
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Linear algebra and the study of matrix algorithms have become fundamental to the development of statistical models. Using a vector-space approach, this book provides an understanding of the major concepts that underlie linear algebra and matrix analysis. Each chapter introduces a key topic, such as infinite-dimensional spaces, and provides illustrative examples. The authors examine recent developments in diverse fields such as spatial statistics, machine learning, data mining, and social network analysis. Complete in its coverage and accessible to students without prior knowledge of linear algebra, the text also includes results that are useful for traditional statistical applications.
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Roy, Anindya,
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2121432
based on 0 review(s)
ISSUES
壽豐校區(SF Campus)
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last issue:
1 (2015/07/13)
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六樓西文書區HC-Z(6F Western Language Books)
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六樓西文書區HC-Z(6F Western Language Books)
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