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The Number of Visits to a Subset of the State Space by an Irreducible Semi-Markov Process During a Finite Time Interval: Moment Results

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Part of the book series: Lecture Notes in Statistics ((LNS,volume 90))

Abstract

The present and the next chapter are devoted to the examination of the variable \({M_{{A_1}}}(t)\) from Chapter 5, now under the semi-Markov assumption. The notation and the assumptions of Chapter 8 apply. We assume here that Y is irreducible and that the state space is partitioned into two subsets, i.e., S = A1 ∪ A2. Furthermore, we require that the holding time cumulative distribution functions satisfy \({F_{s,s'}}(0) < 1\) for all s, s’ ∈ S, s ≠ s’. As we want to concentrate here on the moments of \({M_{{A_1}}}(t)\), the following elementary lemma will prove useful.

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© 1994 Springer-Verlag NewYork, Inc.

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Csenki, A. (1994). The Number of Visits to a Subset of the State Space by an Irreducible Semi-Markov Process During a Finite Time Interval: Moment Results. In: Dependability for Systems with a Partitioned State Space. Lecture Notes in Statistics, vol 90. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2674-1_9

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  • DOI: https://doi.org/10.1007/978-1-4612-2674-1_9

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94333-6

  • Online ISBN: 978-1-4612-2674-1

  • eBook Packages: Springer Book Archive

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