Some Stochastic Process Models for Discrete-Event Stochastic Systems
نویسنده
چکیده
1. Discrete-Event Stochastic Systems Recall our previous definition of a discrete-event stochastic system: the system makes stochastic state transitions only at an increasing sequence of random times. If X(t) is the state of the system at time t, then a typical sample path of the underlying stochastic process of the simulation, i.e. (X(t): t ≥ 0), looks like this (for a finite or countably infinite state space):
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