Simple multivariate time series for simulations of complex systems
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 2
Simulation of some autoregressive Markovian sequences of positive random variables
WSC '79 Proceedings of the 11th conference on Winter simulation - Volume 1
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
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In modeling a system, identifying the times at which the state of the system changes is important. In particular, the probability distributions of the interevent times (time lengths between consecutive events) of each process (such as interarrival times) are required in a simulation model. Often the only available data for a particular process is the number of events per unit time (count data) rather than the event times. This paper surveys estimation of the interevent time distribution from count data.