(Named after andrei markov) A model of sequences of events where the probability of an event occurring depends upon the fact that a preceding event occurred. A markov process is governed by a Markov chain. In simulation, the principle of the Markov chain is applied to the selection of samples from a probability density function to be applied to the model. simscript II.5 uses this approach for some modelling functions. |