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050 4 |a T57.62  |b .S56 2006a 
072 7 |a REF  |x 020000  |2 bisacsh 
082 0 4 |a 001.434  |2 22 
245 0 0 |a Simulation /  |c edited by Shane G. Henderson, Barry L. Nelson. 
250 |a 1st ed. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier,  |c 2006. 
300 |a 1 online resource (xiii, 678 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Handbooks in operations research and management science,  |x 0927-0507 ;  |v v. 13 
504 |a Includes bibliographical references and author and subject indexes. 
505 0 |a 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. 
588 0 |a Print version record. 
520 |a 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 
650 0 |a Computer simulation. 
650 0 |a Stochastic systems. 
650 0 |a Management  |x Simulation methods. 
650 0 |a Digital computer simulation. 
650 2 |a Computer Simulation  |0 (DNLM)D003198 
650 6 |a Simulation par ordinateur.  |0 (CaQQLa)201-0016791 
650 6 |a Syst�emes stochastiques.  |0 (CaQQLa)201-0101603 
650 6 |a Gestion  |x M�ethodes de simulation.  |0 (CaQQLa)201-0005545 
650 7 |a simulation.  |2 aat  |0 (CStmoGRI)aat300237969 
650 7 |a REFERENCE  |x Research.  |2 bisacsh 
650 7 |a Digital computer simulation.  |2 fast  |0 (OCoLC)fst00893651 
650 7 |a Computer simulation.  |2 fast  |0 (OCoLC)fst00872518 
650 7 |a Management  |x Simulation methods.  |2 fast  |0 (OCoLC)fst01007227 
650 7 |a Stochastic systems.  |2 fast  |0 (OCoLC)fst01133532 
650 7 |a Computersimulation  |2 gnd  |0 (DE-588)4148259-1 
650 7 |a Operations Research  |2 gnd  |0 (DE-588)4043586-6 
650 1 7 |a Management.  |2 gtt 
650 1 7 |a Computersimulaties.  |2 gtt 
650 7 |a Simula�c�ao.  |2 larpcal 
653 0 0 |a computersimulatie 
653 0 0 |a computer simulation 
653 0 0 |a stochastisch programmeren 
653 0 0 |a stochastic programming 
653 0 0 |a wiskundige modellen 
653 0 0 |a mathematical models 
653 0 0 |a stochastische modellen 
653 0 0 |a stochastic models 
653 0 0 |a bayesiaanse theorie 
653 0 0 |a bayesian theory 
653 0 0 |a statistische analyse 
653 0 0 |a statistical analysis 
653 0 0 |a optimalisatie 
653 0 0 |a optimization 
653 0 0 |a heuristiek 
653 0 0 |a heuristics 
653 1 0 |a Operations Research 
653 2 0 |a Mathematical Models, Simulation Models 
653 1 0 |a Operationeel onderzoek 
653 2 0 |a Wiskundige modellen, simulatiemodellen 
700 1 |a Henderson, Shane G. 
700 1 |a Nelson, Barry L. 
776 0 8 |i Print version:  |t Simulation.  |b 1st ed.  |d Amsterdam ; Boston : Elsevier, 2006  |w (OCoLC)72444380 
830 0 |a Handbooks in operations research and management science ;  |v v. 13.  |x 0927-0507 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780444514288  |z Texto completo 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/handbooks/09270507/13  |z Texto completo 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/handbooks/09270507  |z Texto completo