Regenerative Stochastic Simulation

Kobo ebook | December 1, 1992

byShedler, Gerald S.

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Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not suffice. The focus of this book is on simulations of discrete-event stochastic systems; namely, simulations in which stochastic state transitions occur only at an increasing sequence of random times. The discussion emphasizes simulations on a finite or countably infinite state space.

* Develops probabilistic methods for simulation of discrete-event stochastic systems
* Emphasizes stochastic modeling and estimation procedures based on limit theorems for regenerative stochastic processes
* Includes engineering applications of discrete-even simulation to computer, communication, manufacturing, and transportation systems
* Focuses on simulations with an underlying stochastic process that can specified as a generalized semi-Markov process
* Unique approach to simulation, with heavy emphasis on stochastic modeling
* Includes engineering applications for computer, communication, manufacturing, and transportation systems

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From the Publisher

Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not suffice. The focus of this book is on simulations of discrete-event stochastic systems; namely, simulations in which stochastic state transitions occur only at an increasing se...

Format:Kobo ebookPublished:December 1, 1992Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080925723

ISBN - 13:9780080925721

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