Simulation methods for Poisson processes in nonstationary systems - Info and Reading Options
By Peter A. W. Lewis

"Simulation methods for Poisson processes in nonstationary systems" was published by Naval Postgraduate School in 1978 - Monterey, California, it has 25 pages and the language of the book is English.
“Simulation methods for Poisson processes in nonstationary systems” Metadata:
- Title: ➤ Simulation methods for Poisson processes in nonstationary systems
- Author: Peter A. W. Lewis
- Language: English
- Number of Pages: 25
- Publisher: Naval Postgraduate School
- Publish Date: 1978
- Publish Location: Monterey, California
“Simulation methods for Poisson processes in nonstationary systems” Subjects and Themes:
- Subjects: Stochastic processes - Point processes - Poisson processes
Edition Specifications:
- Pagination: 25 p. ;
Edition Identifiers:
- The Open Library ID: OL25505367M - OL16883568W
- Online Computer Library Center (OCLC) ID: 425839600
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"Simulation methods for Poisson processes in nonstationary systems" Description:
The Open Library:
The nonhomogeneous Poisson process is a widely used model for a series of events (stochastic point process) in which the rate or intensity of occurrence of points varies, usually with time. The process has the characteristic properties that the number of points in any finite set of nonoverlapping intervals are mutually independent random varialbes, and that the number of points in any of these intervals has a Poisson distribution. This paper first discusses several general methods for simulation of the one-dimensional nonhomogeneous Poisson process. Then a particular and very efficient method for simulation of nonhomogeneous Poisson processes is stated with log-linear rate function. The method is based on an identity relating the nonhomogeneous Poisson process to the gap statistics from a random number of exponential random variables with suitably chosen parameters. Finally, a simple and relatively efficient new method for simulation of one-dimensional and two-dimensional nonhomogeneous Poisson processes is described. The method is applicable for any given rate function and is based on controlled deletion of points in a Poisson process with a rate function that dominates the given rate function.
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