Description: Numerical Linear Algebra for Applications in Statistics Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): James E. Gentle Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461268420, 978-1461268420 Synopsis 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.
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Location: Aldershot
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Book Title: Numerical Linear Algebra for Applications in Statistics
Number of Pages: 221 Pages
Language: English
Publication Name: Numerical Linear Algebra for Applications in Statistics
Publisher: Springer-Verlag New York Inc.
Publication Year: 2012
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 373 g
Type: Textbook
Author: James E. Gentle
Series: Statistics and Computing
Item Width: 155 mm
Format: Paperback
