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The Number of Visits Until Absorption to Subsets of the State Space by a Discrete-Parameter Markov Chain: the Multivariate Case

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Dependability for Systems with a Partitioned State Space

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

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Abstract

In Corollary 2.6, we have considered the variable \({M_{{A_1}}}\) the number of visits to A1 until absorption by a chain Z = { Z0, Z1, … } whose state space is partitioned as A1 ∪ A2 ∪ {ω} with ω being the absorbing state. There, the probability mass function of\({M_{{A_1}}}\) was deduced from our main results on sojourn times. On the other hand, the power of the generalised renewal argument was demonstrated in Section 2.1.3. In this chapter, these two threads will be combined to obtain results on the joint distribution of the number of visits to a subset of the state space whose set of transient states is partitioned into possibly more than two subsets.

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© 1994 Springer-Verlag NewYork, Inc.

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Csenki, A. (1994). The Number of Visits Until Absorption to Subsets of the State Space by a Discrete-Parameter Markov Chain: the Multivariate Case. 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_3

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  • DOI: https://doi.org/10.1007/978-1-4612-2674-1_3

  • 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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