Linear algebra and matrix analysis for statistics /
General Material Designation
[Book]
First Statement of Responsibility
Sudipto Banerjee, professor of biostatistics, School of Public Health, University of Minnesota, U.S.A., Anindya Roy, professor of statistics, Department of Mathematics and Statistics, University of Maryland, Baltimore County, U.S.A
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xvii, 565 pages ;
Dimensions
25 cm
SERIES
Series Title
Chapman & Hall/CRC texts in statistical science series
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
SUMMARY OR ABSTRACT
Text of Note
"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."--