Matrix Algebra : Theory, Computations, and Applications in Statistics Paperback / softback
by James E. Gentle
Part of the Springer Texts in Statistics series
Paperback / softback
Description
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.
Information
-
Item not Available
- Format:Paperback / softback
- Pages:530 pages, XXII, 530 p.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:12/02/2010
- Category:
- ISBN:9781441924247
Other Formats
- Hardback from £80.59
- Paperback / softback from £107.29
- PDF from £76.08
Information
-
Item not Available
- Format:Paperback / softback
- Pages:530 pages, XXII, 530 p.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:12/02/2010
- Category:
- ISBN:9781441924247
