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Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of diffe
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This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation
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In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practit
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Introduction to Stochastic Models
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Newly revised by the author, this undergraduate-level text introduces the mathematical theory of probability and stochastic processes. Using both computer simul