Title :
Advanced input modeling for simulation experimentation
Author :
Schmeiser, Bruce
Author_Institution :
Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Simulation Conference Proceedings, 1999 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5780-9
DOI :
10.1109/WSC.1999.823059
