UniversityMathsMarkov chains, Poisson arrivals and M/M/1 queues10–15 min
Markov and Poisson Lab
Set transition probabilities so a Markov chain settles on a target stationary distribution, compare simulated arrivals with Poisson probabilities, and tune an M/M/1 queue.
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The experiment opens when it comes into view.
Theory and model assumptions
Set transition probabilities so a Markov chain settles on a target stationary distribution, compare simulated arrivals with Poisson probabilities, and tune an M/M/1 queue.
Teacher guidance
University, Probability and Stochastic Processes
Expected time: 10–15 minutes.