Sensitivity analysis of simulation output to parameters of nonhomogeneous Poisson processes

Author

Kuhl, Michael E. ; Lim, Sun Ewe

Author_Institution

Dept. of Ind. & Manuf. Syst. Eng., Louisiana State Univ., Baton Rouge, LA, USA

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

462

Abstract

Nonhomogeneous Poisson processes (NHPPs) are frequently used in stochastic simulations to model nonstationary point processes. These NHPP models are often constructed by estimating the parameters of the rate function from one or more observed realizations of the process. This paper focuses on the degree of accuracy to which the rate function parameters of the NHPP need to be estimated such that the simulation output performance measures are not significantly different from performance measures that would be obtained for the underlying (true) process

Keywords

discrete event simulation; parameter estimation; random processes; sensitivity analysis; nonhomogeneous Poisson processes; nonstationary point processes; parameter estimation; performance measures; sensitivity analysis; simulation output; stochastic simulations; Analytical models; Manufacturing industries; Manufacturing systems; Modeling; Parameter estimation; Sensitivity analysis; Stochastic processes; Stochastic systems; Sun; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1999 Winter

Conference_Location

Phoenix, AZ

Print_ISBN

0-7803-5780-9

Type

conf

DOI

10.1109/WSC.1999.823110

Filename

823110