Abstract
Let \(\left\{ X_{t},t\ge 1\right\} \) be a sequence of random variables with two possible values as either “1” (success) or “0” (failure). Define an independent sequence of random variables \(\left\{ D_{i},i\ge 1\right\} \). The random variable \(D_{i}\) is associated with the success when it occupies the ith place in a run of successes. We define the weight of a success run as the sum of the D values corresponding to the successes in the run. Define the following two random variables: \(N_{k}\) is the number of trials until the weight of a single success run exceeds or equals k, and \(N_{r,k}\) is the number of trials until the weight of each of r success runs equals or exceeds k in \(\left\{ X_{t},t\ge 1\right\} \). Distributional properties of the waiting time random variables \(N_{k}\) and \(N_{r,k}\) are studied and illustrative examples are presented.
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The author thanks two anonymous referees for their helpful comments and suggestions, which were very useful in improving the paper.
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Eryilmaz, S. Generalized waiting time distributions associated with runs. Metrika 79, 357–368 (2016). https://doi.org/10.1007/s00184-015-0558-4
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DOI: https://doi.org/10.1007/s00184-015-0558-4