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Joint Distributions of Runs in a Sequence of Multi-State Trials

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Abstract

In this paper we introduce a Markov chain imbeddable vector of multinomial type and a Markov chain imbeddable variable of returnable type and discuss some of their properties. These concepts are extensions of the Markov chain imbeddable random variable of binomial type which was introduced and developed by Koutras and Alexandrou (1995, Ann. Inst. Statist. Math., 47, 743–766). By using the results, we obtain the distributions and the probability generating functions of numbers of occurrences of runs of a specified length based on four different ways of counting in a sequence of multi-state trials. Our results also yield the distribution of the waiting time problems.

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Authors and Affiliations

  1. Department of Informatics and Mathematical Science, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama-cho, Toyonaka, Osaka, 560-8531, Japan

    Qing Han & Sigeo Aki

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  1. Qing Han
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  2. Sigeo Aki
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Han, Q., Aki, S. Joint Distributions of Runs in a Sequence of Multi-State Trials. Annals of the Institute of Statistical Mathematics 51, 419–447 (1999). https://doi.org/10.1023/A:1003941920316

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  • DOI: https://doi.org/10.1023/A:1003941920316

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