Numerical Linear Algebra for Applications in Statistics - Couverture rigide

Gentle, James E.

Couverture rigide

ISBN 10 : 0387985425 ISBN 13 : 9780387985428

Editeur : Springer-Verlag New York Inc., 1998

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.

A propos du livre

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.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 1998
• Langue: anglais
• ISBN 10: 0387985425
• ISBN 13: 9780387985428
• Reliure: Relié
• Nombre de pages: 221
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne