Numerical Linear Algebra for Applications in Statistics

Gentle, James E.

ISBN 10: 0387985425 / ISBN 13: 9780387985428

Edité par Springer New York, 1998

A propos de cet article

Used book that is in clean, average condition without any missing pages.

N° de réf. du vendeur 52434129-6

Détails bibliographiques

• Titre: Numerical Linear Algebra for Applications in Statistics
• Éditeur: Springer New York
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 0387985425
• ISBN à 13 chiffres: 9780387985428
• Reliure: Couverture rigide
• Édition: 1st Edition.
• État de l'article: Good

A propos de ce titre

Synopsis

Linear algebra is one of the most imprortant mathematical and computational tools in the sciences. A knowledge of linear algebra is essential for research in statistics or the application of statistics. This book presents the aspects of numerical linear algebra that are important to statisticians.

Présentation de l'éditeur

Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book describes and gives examples of the use of modern computer software for numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, factorisations, matrix and vector norms, and other topics in linear algebra. The book is essentially self- contained, with the topics addressed constituting the essential material for an introductory course in statistical computing. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.