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Abstract

The previous chapter presented analysis methods for stochastic models where some of the distributions were different from exponential. In these cases the analysis of the models is more complex than the analysis of Markov models. In this chapter we introduce a methodology to extend the set of models which can be analyzed by Markov models while the distributions can be different from exponential.

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Lakatos, L., Szeidl, L., Telek, M. (2019). Markov Chains with Special Structures. In: Introduction to Queueing Systems with Telecommunication Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-15142-3_5

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