The impact of autocorrelation on queuing systems
Management Science
The TES methodology: modeling empirical stationary time series
WSC '92 Proceedings of the 24th conference on Winter simulation
Autoregressive to anything: Time-series input processes for simulation
Operations Research Letters
Advanced input modeling for simulation experimentation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Generating correlated matrix exponential random variables
Advances in Engineering Software
Generating correlated matrix exponential random variables
Advances in Engineering Software
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We develop an efficient numerical method for fitting ARTA processes for use as simulation input. ARTA processes are stationary time series with arbitrary marginal distributions and autocorrelations specified through finite lag p. We discuss the software package ARTAFACTS, which implements the numerical method, and the package ARTAGEN, which generates observations from ARTA processes. To demonstrate the use of the software, we present a real-world example.