Numerical Linear Algebra for Applications in Statistics

Gentle, James E.

ISBN 10: 0387985425 / ISBN 13: 9780387985428

Verlag: Springer-Verlag New York Inc., 1998

Beschreibung

Describes computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. This book begins with a discussion of the basics of numerical computations, and then describes the properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra. Series: Statistics and Computing. Num Pages: 221 pages, biography. BIC Classification: PBF; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 514. . 1998. Hardback. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verkäufers V9780387985428

Bibliografische Details

• Titel: Numerical Linear Algebra for Applications in Statistics
• Verlag: Springer-Verlag New York Inc.
• Erscheinungsjahr: 1998
• Sprache: Englisch
• ISBN-10: 0387985425
• ISBN-13: 9780387985428
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Críticas

From a review:

JOURNAL OF AMERICAN STATISTICAL ASSOCIATION

"Gentle brings to this book (as well as his other recent books on further aspects of statistical computing) his vast knowledge and experience in the mathematics of scientific computing, the practical aspects of software development, and teaching. The presentation is exceptionally clear and well-sign-boarded. ...The writing style, though very precise, conveys a warmth and enthusiasm that will appeal to students."