Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues

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Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.

Author(s): Pierre Bremaud
Edition: Corrected
Publisher: Springer
Year: 1999

Language: English
Pages: 455
Tags: Математика;Теория вероятностей и математическая статистика;Теория случайных процессов;