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Numerical Linear Algebra for Applications in Statistics: NUMERICAL LINEAR ALGEBRA FOR A
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Numerical Linear Algebra for Applications in Statistics: NUMERICAL LINEAR ALGEBRA FOR A - new book

ISBN: 9780387985428

ID: 978038798542

Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in the computer. The book begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra; hence, the book is essentially self- contained. The topics addressed in this book constitute the most important material for an introductory course in statistical computing, and should be covered in every such course. The book includes exercises and can be used as a text for a first course in statistical computing or as supplementary text for various courses that emphasize computations. James Gentle is University Professor of Computational Statistics at George Mason University. During a thirteen-year hiatus from academic work before joining George Mason, he was director of research and design at the world''s largest independent producer of Fortran and C general-purpose scientific software libraries. These libraries implement many algorithms for numerical linear algebra. He is a Fellow of the American Statistical Association and member of the International Statistical Institute. He has held several national Books > Science and Nature List_Books, [PU: Springer]

Indigo.ca
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Numerical Linear Algebra for Applications in Statistics - Gentle, James E.
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Gentle, James E.:
Numerical Linear Algebra for Applications in Statistics - hardcover

1998, ISBN: 0387985425

ID: A1530912

1998 Gebundene Ausgabe Algebra / Lineare Algebra, Lineare Algebra, Statistik, Mathematische und statistische Software, Analysis; Eigenvalue; Eigenvector; Fitting; Matrix; algorithms; best fit; computer, mit Schutzumschlag neu, [PU:Springer New York; Springer US]

Achtung-Buecher.de
MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
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Numerical Linear Algebra for Applications in Statistics - James E. Gentle; Editor-S. Sheather; Editor-W. Eddy
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James E. Gentle; Editor-S. Sheather; Editor-W. Eddy:
Numerical Linear Algebra for Applications in Statistics - hardcover

1998, ISBN: 9780387985428

ID: 425103177

Springer, 1998-08-13. Hardcover. Good., Springer, 1998-08-13

Biblio.co.uk
Ergodebooks
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Numerical Linear Algebra for Applications in Statistics
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Numerical Linear Algebra for Applications in Statistics - new book

ISBN: 0387985425

ID: 3738541

Numerical Linear Algebra for Applications in Statistics ab 79.99 EURO Auflage 1998 Medien > Bücher, [PU: Springer]

eBook.de
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Numerical Linear Algebra for Applications in Statistics - James E. Gentle
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James E. Gentle:
Numerical Linear Algebra for Applications in Statistics - hardcover

1998, ISBN: 9780387985428

ID: 142277

1998 ed., Hardcover, Buch, [PU: Springer-Verlag New York Inc.]

lehmanns.de
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Details of the book
Numerical Linear Algebra for Applications in Statistics

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.

Details of the book - Numerical Linear Algebra for Applications in Statistics


EAN (ISBN-13): 9780387985428
ISBN (ISBN-10): 0387985425
Hardcover
Publishing year: 1998
Publisher: Springer-Verlag New York Inc.
240 Pages
Weight: 0,526 kg
Language: eng/Englisch

Book in our database since 2007-05-03T13:50:45-04:00 (New York)
Detail page last modified on 2019-10-12T07:33:36-04:00 (New York)
ISBN/EAN: 9780387985428

ISBN - alternate spelling:
0-387-98542-5, 978-0-387-98542-8


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