Can I read Matrix Algebra : Theory, Computations and Applications in Statistics on EtoBox?

Matrix Algebra : Theory, Computations and Applications in Statistics by James E. Gentle is a nonfiction available to read on EtoBox.

What is Matrix Algebra : Theory, Computations and Applications in Statistics about?

This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions had essential updates and comprehensive coverage on critical topics in mathematics. This 3 rd edition offers a self-contained description of relevant aspects of matrix algebra for applications in statistics. It begins with fundamental concepts of vectors and vector spaces; covers basic algebraic properties of matrices and analytic properties of vectors and matrices in multivariate calculus; and concludes with a discussion on operations on matrices, in solutions of linear systems and in eigenanalysis. It also includes discussions of the R software package, with numerous examples and exercises. Matrix Algebra considers various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes special properties of those matrices; as well as describing various applications of matrix theory in statistics, including linear mode

Who reads Matrix Algebra : Theory, Computations and Applications in Statistics?

Author

James E. Gentle

Publisher

Springer International Publishing : Imprint: Springer

Published

2024

Language

EN

ISBN

9783031421433

Category

nonfiction

Subjects

Computer Science, Mathematics, Science