Wiley series in probability and statistics· 2016· Review
Simulation and the Monte Carlo Method
- 3,315citations
- 2016year
Short summary
The Second Edition of 'Simulation and the Monte Carlo Method' offers a comprehensive update on Monte Carlo simulation techniques, reflecting recent field developments.
AI-generated from the title and abstract; the full text is not read.
Key points
- The book is a comprehensive update on Monte Carlo simulation techniques.
- It reflects the latest developments in the field since the first edition over 25 years ago.
- The text requires only basic knowledge of probability and statistics.
- It is suitable for advanced undergraduate and graduate courses, and as a professional reference.
AI-generated from the title and abstract; the full text is not read.
Abstract
Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences." "Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.
The authors' abstract, as published at the source. Wiley series in probability and statistics, 2016 · DOI ↗
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Field: Management Science and Operations Research
Management Science and Operations ResearchDecision Sciences