Abstract
A general method is proposed for calculating the probabilistic and temporal characteristics of a walk through a complex semi-Markov process, formed by combining M ordinary semi-Markov processes, based on the fact that a semi-Markov matrix is transformed into a characteristic matrix, which is raised to a power, then the degrees of the characteristic matrix are summed.
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Akimenko, T.A., Larkin, E.V. (2019). The Temporal Characteristics of a Wandering Along Parallel Semi-Markov Chains. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2019. Communications in Computer and Information Science, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-32-9563-6_9
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DOI: https://doi.org/10.1007/978-981-32-9563-6_9
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