A Markov chain is a sequence of random variables that depends only on the previous state, not on the entire history. For example, the weather tomorrow may depend only on the weather today, not on the ...
In many situations, the arrival rate or service rate is determined by a Poisson process whose parameter varies as a function of time. For example, if the arrival rate to a fast food restaurant varies ...
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