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Monte Carlo Strategies in Scientific Computing

Jun S. Liu
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      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.
      Format: CONTRIBUTORS: Jun S. Liu EAN: 9780387763699 COUNTRY: United States PAGES: WEIGHT: 1130 g HEIGHT: 229 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2008-01-04 CITY: GENRE: BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Counting & Numeration, MATHEMATICS / Probability & Statistics / General, SCIENCE / Physics / Mathematical & Computational WIDTH: 152 cm SPINE:

      Book Themes:

      Economics, Finance, Business and Management, Numerical analysis, Probability and statistics, Stochastics, Mathematical physics

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      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.
      Format: CONTRIBUTORS: Jun S. Liu EAN: 9780387763699 COUNTRY: United States PAGES: WEIGHT: 1130 g HEIGHT: 229 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2008-01-04 CITY: GENRE: BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Counting & Numeration, MATHEMATICS / Probability & Statistics / General, SCIENCE / Physics / Mathematical & Computational WIDTH: 152 cm SPINE:

      Book Themes:

      Economics, Finance, Business and Management, Numerical analysis, Probability and statistics, Stochastics, Mathematical physics

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      Be the first to write a review
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