Abstract
The number of success runs for nonhomogeneous markov dependent trials are represented as the sum of Bernoulli trials and the expected value of runs are obtained by using this representation. The distribution and bounds for the distribution of the longest run are derived for markov dependent trials.
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Eryilmaz, S. On the distribution and expectation of success runs in nonhomogeneous Markov dependent trials. Statistical Papers 46, 117–128 (2005). https://doi.org/10.1007/BF02762038
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DOI: https://doi.org/10.1007/BF02762038