Sinopse

This introduction to probability, stochastic processes, and statistics for computer science and engineering applications uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems, fault tolerance, and performance. Chapters cover discrete random variables, continuous random variables, expectation, conditional distribution, stochastic processes, Markov chains, networks of queues, statistical inference, and regression and the analysis of variance. Approximately 200 worked examples are provided for each section. Trivedi teaches electrical and computer engineering at Duke University.

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