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Book synopsis

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Matrix Algebra
• Subtitle: Theory, Computations and Applications in Statistics
• Author: James E. Gentle
• Language: English
• Binding: Hardback
• Number of pages: 728
• EAN: 9783031421433
• ID: 43830104
• Publisher: Springer, Berlin
• Weight: 1514 g
• Dimensions: 254 × 178 mm
• Date of publishing: 20. October 2023

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