Markov chain Monte Carlo (MCMC) modelling technique requires one to be able to construct a proposal density. There is no universal way to achieve this. This paper considers the universal proposal selection technique based on the kernel density estimate. Two channel queuing system with a priority was modelled using this technique. Empirical data (the observed service times) and the rates of arrival processes are all the information
used for simulating the system.
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