Modern Statistical, Systems, and GPSS Simulation, Second Edition
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Modern Statistical Systems and GPSS Simulation introduces the theory and implementation of discret-event simulation. This text establishes a theoretical basis for simulation methodology, provides details of an important simulation language (GPSS - General Purpose Simulation System), and integrates these two elements in a systems simulation case study. Valuable additions to the second edition include coverage of random number generators with astronomic period, new entropy-based tests of uniformity, gamma variate generation, results on the GLD and variance reduction techniques. TOC:Discrete even...
Modern Statistical Systems and GPSS Simulation introduces the theory and implementation of discret-event simulation. This text establishes a theoretical basis for simulation methodology, provides details of an important simulation language (GPSS - General Purpose Simulation System), and integrates these two elements in a systems simulation case study. Valuable additions to the second edition include coverage of random number generators with astronomic period, new entropy-based tests of uniformity, gamma variate generation, results on the GLD and variance reduction techniques. TOC:Discrete event computer simulation.- Introduction to GPSS.- Random number generation and testing.- Random variable generation.- Intermediate GPSS.- Statistical design and analysis of simulations.- Advanced GPSS features. Case study of a simulation: design, analysis, and programming.- Appendices.- References.
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