Regenerative Stochastic Simulation

Regenerative Stochastic Simulation
Author :
Publisher : Elsevier
Total Pages : 412
Release :
ISBN-10 : 9780080925721
ISBN-13 : 0080925723
Rating : 4/5 (723 Downloads)

Book Synopsis Regenerative Stochastic Simulation by : Gerald S. Shedler

Download or read book Regenerative Stochastic Simulation written by Gerald S. Shedler and published by Elsevier. This book was released on 1992-12-17 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Regenerative Stochastic Simulation Related Books

Regenerative Stochastic Simulation
Language: en
Pages: 412
Authors: Gerald S. Shedler
Categories: Mathematics
Type: BOOK - Published: 1992-12-17 - Publisher: Elsevier

DOWNLOAD EBOOK

Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not
Stochastic Simulation: Algorithms and Analysis
Language: en
Pages: 490
Authors: Søren Asmussen
Categories: Mathematics
Type: BOOK - Published: 2007-07-14 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of diffe
Markov Processes for Stochastic Modeling
Language: en
Pages: 515
Authors: Oliver Ibe
Categories: Mathematics
Type: BOOK - Published: 2013-05-22 - Publisher: Newnes

DOWNLOAD EBOOK

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model
Basics of Applied Stochastic Processes
Language: en
Pages: 452
Authors: Richard Serfozo
Categories: Mathematics
Type: BOOK - Published: 2009-01-24 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Marko
Markov Chains
Language: en
Pages: 456
Authors: Pierre Bremaud
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initi