Computing Waiting Time Probabilities Related To (<i>k</I><sub>1< <i>k</I><sub>2< ..., <i>k<sub>l</Sub>< Pattern

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Abstract

For a sequence of multi-state trials with l possible outcomes denoted by {1, 2, ..., l}, let E be the event that at least k(1) consecutive is followed by at least k(2) consecutive 2s,..., followed by at least k(l) consecutive ls. Denote by T-r the number of trials for the rth occurrence of the event E in a sequence of multi-state trials. This paper studies the distribution of the waiting time random variable T-r when the sequence consists of independent and identically distributed multi-state trials. In particular, distributional properties of T-r are examined via matrix-geometric distributions.

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Keywords

Matrix-geometric distribution, Pattern, Probability generating function, Runs, Waiting time, Combinatorial probability, runs, Probability distributions: general theory, Exact distribution theory in statistics, pattern, waiting time, Markov chains (discrete-time Markov processes on discrete state spaces), matrix-geometric distribution, probability generating function

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0502 economics and business, 05 social sciences, 0101 mathematics, 01 natural sciences

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2

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64

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5

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1373

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1390

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checked on May 29, 2026

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