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From the Publisher: Provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. Contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.
230202 Stochastic Analysis and Modelling, 780101 Mathematical sciences, 280210 Simulation and Modelling, 2600 Mathematics, 541, 230203 Statistical Theory
230202 Stochastic Analysis and Modelling, 780101 Mathematical sciences, 280210 Simulation and Modelling, 2600 Mathematics, 541, 230203 Statistical Theory
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4K | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.01% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.01% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.01% |