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On the distribution and expectation of success runs in nonhomogeneous Markov dependent trials
Authors:Serkan Eryilmaz
Affiliation:1. Department of Mathematics, Izmir University of Economics, 35330, Bal?ova, Izmir, Turkey
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.
Keywords:Success run  Markov chain  Bernoulli trials  expected value
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