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Bibliographic Details

Title

Large Deviations Techniques and Applications, 2nd edition

Publisher

Springer

Publication Date

2009

Language

English

ISBN 10

3642033105

ISBN 13

9783642033100

Binding

Soft cover

Edition

International Edition

Condition

New

Dust Jacket Condition

New

Seller catalogs

About this title

Synopsis

Large deviation estimates have proved to be the crucial tool required to handle many questions in statistics, engineering, statistial mechanics, and applied probability. Amir Dembo and Ofer Zeitouni, two of the leading researchers in the field, provide an introduction to the theory of large deviations and applications at a level suitable for graduate students. The mathematics is rigorous and the applications come from a wide range of areas, including electrical engineering and DNA sequences.

The second edition, printed in 1998, included new material on concentration inequalities and the metric and weak convergence approaches to large deviations. General statements and applications were sharpened, new exercises added, and the bibliography updated. The present soft cover edition is a corrected printing of the 1998 edition.

About the Author

Amir Dembo is a Professor of Mathematics and of Statistics at Stanford University.

Ofer Zeitouni is a Professor of Mathematics at the Weizmann Institute of Science and at the University of Minnesota.

"About this title" may belong to another edition of this title.

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