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Matrix Algebra

Theory, Computations and Applications in Statistics
 Book
Sofort lieferbar | Lieferzeit:3-5 Tage I
ISBN-13:
9783319648668
Einband:
Book
Erscheinungsdatum:
01.11.2017
Seiten:
648
Autor:
James E. Gentle
Gewicht:
1318 g
Format:
254x177x43 mm
Serie:
Springer Texts in Statistics
Sprache:
Englisch
Beschreibung:

Comprehensive coverage of matrix algebra for data science and statistical theory
2.1.8 Orthogonal Vectors and Orthogonal Vector Spaces
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.

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