Matrix algebra : theory, computations, and applications in statistics
- New York Springer 2007
- xxii, 528 p. ill. 24 cm.
- Springer texts in statistics. .
Includes bibliographical references and index.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis.
9780387708720
Matrices Computer mathematics Matrices - problems and exercises Mathematics Numerical analysis Computational intelligence Computational mathematics and numerical analysis Mathematical statistics Algebra Statistics Statistical theory and methods Numeric computing Probability and statistics in computer science Electronic data processing