Titlebook: Explorations in Monte Carlo Methods; Ronald W. Shonkwiler,Franklin Mendivil Textbook 20091st edition Springer-Verlag New York 2009 Markov

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https://doi.org/10.1007/978-3-322-86933-3ock, from the arrival time of the next phone call at a switchboard to the birth weight of a mother’s first child. To simulate these and other probability experiments we need to know how to convert uniformly distributed random numbers into a sample from whatever distribution underlies the experiment.

簡(jiǎn)略

Schriften zur Unternehmensentwicklung denote the .th outcome, we say that the process moves from state .. to state .. on the .th iteration. The other major novelty here is that the probabilities governing the next move can depend on the present state. In fact, it is usually the case that from any given state . it is possible to move to

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978-1-4899-8379-4Springer-Verlag New York 2009

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Explorations in Monte Carlo Methods978-0-387-87837-9Series ISSN 0172-6056 Series E-ISSN 2197-5604

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0172-6056 zation, finance, statistical mechanics, birth and death proc.Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems...Explorations in Monte Carlo Methods. p