DocumentCode
1621463
Title
Advanced input modeling for simulation experimentation
Author
Schmeiser, Bruce
Author_Institution
Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
110
Abstract
We discuss ideas useful to simulation practitioners when specifying the probability models used to represent stochastic behavior. Emphasis is on situations in which the classical simple models are inadequate. After discussing some general modeling issues, we consider univariate distributions, nonnormal random vectors and time series, and nonhomogeneous Poisson processes
Keywords
modelling; probability; simulation; stochastic processes; time series; advanced input modeling; modeling; nonhomogeneous Poisson processes; nonnormal random vectors; probability models; simulation experimentation; stochastic behavior; time series; univariate distributions; H infinity control; Industrial engineering; Random number generation; Reflection; Software design; Software systems; Stochastic processes; Synthetic aperture sonar;
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.1999.823059
Filename
823059
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