James E. Gentle Gentle Numerical Linear Algebra for Applications in Statistics

Numerical Linear Algebra for Applications in Statistics

von James E. Gentle

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Beschreibung

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.

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James E. Gentle

Themen in »Numerical Linear Algebra for Applications in Statistics«

Analysis Eigenvalue Eigenvector Fitting Matrix algebra algorithms best fit computer linear algebra statistics matrix theory

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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."

 


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Details

ISBN: 9780387985428
Verlag: Springer US
Erscheinung: 13.08.1998

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