<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper provides the definitions and basic properties related to a discrete state space semi-Markov process. The semi-Markov process is constructed by the so called Markov renewal process that is a special case the two-dimensional Markov sequence. The Markov renewal process is defined by the transition probabilities matrix, called the renewal kernel and an initial distribution or by another characteristics which are equivalent to the renewal kernel. The counting process corresponding to the semi-Markov process allows to determine concept of the process regularity. In the paper are also shown the other methods of determining the semi-Markov process. The presented concepts are illustrated a simple example.</p></abstract>

This paper provides the definitions and basic properties related to a discrete state space semi-Markov process. The semi-Markov process is constructed by the so called Markov renewal process that is a special case the two-dimensional Markov sequence. The Markov renewal process is defined by the transition probabilities matrix, called the renewal kernel and an initial distribution or by another characteristics which are equivalent to the renewal kernel. The counting process corresponding to the semi-Markov process allows to determine concept of the process regularity. In the paper are also shown the other methods of determining the semi-Markov process. The presented concepts are illustrated a simple example.

Concept of Semi -Markov Process

Maritime Technical Journal

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{"article-title":"Concept of Semi -Markov Process"}

This paper provides the definitions and basic properties related to a discrete state space semi-Markov process. The semi-Markov process is constructed by the...

Concept of Semi -Markov Process

Publié en ligne: 30 sept. 2016

Pages: 25 - 36

DOI: https://doi.org/10.5604/0860889x.1224743

Mots clés
semi-Markov process, probabilities matrix

© 2018

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Concept of Semi -Markov Process

Publié en ligne: 30 sept. 2016

Pages: 25 - 36

DOI: https://doi.org/10.5604/0860889x.1224743

Mots cléssemi-Markov process, probabilities matrix

© 2018

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
semi-Markov process, probabilities matrix