Opening book details…
Can I read Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics) on EtoBox?
Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics) by Jun S. Liu is a business book available to read on EtoBox.
What is Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics) about?
This book provides an 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. It can be used as a textbook for a graduate-level course on Monte Carlo methods.
Who reads Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Jun S. Liu
- Publisher
- Springer
- Published
- 2008
- Language
- EN
- ISBN
- 9780387952307
- Category
- business
- Subjects
- Business, Mathematics, Physics
- Updated
- 2026-03-16
Other editions & translations
More by Jun S. Liu
Browse all works by Jun S. Liu
Similar books
- Monte Carlo: Concepts, Algorithms, and Applications (Springer Series in Operations Research and Financial Engineering) — George Samuel Fishman (1996)
- Monte Carlo and Quasi-Monte Carlo Sampling (Springer Series in Statistics) — Christiane Lemieux (2009)
- An Introduction to Sequential Monte Carlo (Springer Series in Statistics) — Omiros Papaspiliopoulos Nicolas Chopin (2020)
- Finance with Monte Carlo || — Ronald W. Shonkwiler (auth.) (2013)
- Monte Carlo Methods || — J. M. Hammersley, D. C. Handscomb (auth.) (1964)
- Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics) — Reuven Y. Rubinstein; Dirk P. Kroese (1991)
