It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

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Detalles bibliogr�ficos

T�tulo: Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)
Editor: Springer (edition Corrected)
Fecha de publicaci�n: 2002
Idioma: Ingl�s
ISBN 10: 0387952306
ISBN 13: 9780387952307
Encuadernaci�n: Hardcover
Edici�n: Corrected.
Estado: Good

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Sinopsis

This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods.

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Jun S. Liu is a professor in the Department of Statistics at Harvard University.

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AZ Texts LLC
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