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Numerical Linear Algebra for Applications in Statistics (Statistics and Computing)

 
Numerical Linear Algebra for Applications in Statistics (Statistics and Computing)

Description

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.

Product details

EAN/ISBN:
9781461268420
Edition:
Softcover reprint of the original 1st ed. 1998
Medium:
Paperback
Number of pages:
240
Publication date:
2012-12-21
Publisher:
Springer
EAN/ISBN:
9781461268420
Edition:
Softcover reprint of the original 1st ed. 1998
Medium:
Paperback
Number of pages:
240
Publication date:
2012-12-21
Publisher:
Springer

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