Numerical linear algebra for applications in statistics
By: James E. Gentle.
Series: Statistics and computing
Publisher: Springer
Published: 1998
Place of publication: New York
Language: eng
Number of pages: 221
Subjects: Algebras, Linear; Linear models (Statistics)
Description: Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.

Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra.
Notes: Includes bibliographical references (p. 203-212) and indexes.