Simulation / edited by Shane G. Henderson, Barry L. Nelson
(Handbooks in operations research and management science. ISSN:09270507 ; v. 13)
データ種別 | 電子ブック |
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著者標目 | Henderson, Shane G Nelson, Barry L |
出版者 | Amsterdam ; Boston : Elsevier |
出版年 | 2006 |
書誌詳細を非表示
版 | 1st ed. |
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巻次 | ISBN:0444514287 ISBN:9780444514288 ISBN:0080464769 ISBN:9780080464763 |
大きさ | 1 online resource (xiii, 678 pages) |
一般注記 | Includes bibliographical references and author and subject indexes Chapter 6. Arrival processes, random lifetimes and random objects -- Chapter 7. Implementing representations of uncertainty -- Chapter 8. Statistical estimation in computer simulation -- Chapter 9. Subjective probability and bayesian methodology -- Chapter 10. A Hilbert space approach to variance reduction -- Chapter 11. Rare-event simulation techniques: an introduction and recent advances -- Chapter 12 Quasi-random number techniques -- Chapter 13 Analysis for design -- Chapter 14 Resampling methods -- Chapter 15. Correlation-based methods for output analysis -- Chapter 16. Simulation algorithms for regenerative processes -- Chapter 17. Selecting the best system -- Chapter 18. Metamodel-based simulation optimization -- Chapter 19. Gradient estimation -- Chapter 20. An overview of simulation optimization via random search -- Chapter 21. Metaheuristics Print version record This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume "simulation" refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level 'how to' guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures. * Tightly focused chapters written by experts * Surveys concepts, principles, tools, and techniques that underlie the theory and practice of stochastic simulation design and analysis * Provides an up-to-date reference for both simulation researchers and advanced simulation users Elsevier ScienceDirect All Books HTTP:URL=https://www.sciencedirect.com/science/handbooks/09270507/13 |
件 名 | LCSH:Computer simulation LCSH:Stochastic systems LCSH:Management -- Simulation methods 全ての件名で検索 CSHF:Simulation par ordinateur CSHF:Syst�emes stochastiques CSHF:Gestion -- Simulation, M�ethodes de 全ての件名で検索 FREE:REFERENCE -- Research 全ての件名で検索 FREE:Computer simulation FREE:Management -- Simulation methods 全ての件名で検索 FREE:Stochastic systems FREE:Management FREE:Computersimulaties FREE:Simula�c�ao FREE:Computersimulation FREE:Operations Research FREE:Electronic books FREE:Electronic books |
分 類 | LCC:T57.62 DC22:001.434 |
書誌ID | OB00007450 |
ISBN | 0444514287 |