Research Article Open Access

CHARACTERIZATION OF MARKOV-BERNOULLI GEOMETRIC DISTRIBUTION RELATED TO RANDOM SUMS

Mohamed Gharib1, Mahmoud M. Ramadan2 and Khaled A.H. Al-Ajmi1
  • 1 Ain Shams University, Egypt
  • 2 Taif University, Saudi Arabia

Abstract

The Markov-Bernoulli geometric distribution is obtained when a generalization, as a Markov process, of the independent Bernoulli sequence of random variables is introduced by considering the success probability changes with respect to the Markov chain. The resulting model is called the Markov- Bernoulli model and it has a wide variety of application fields. In this study, some characterizations are given concerning the Markov-Bernoulli geometric distribution as the distribution of the summation index of independent randomly truncated non-negative integer valued random variables. The achieved results generalize the corresponding characterizations concerning the usual geometric distribution.

Journal of Mathematics and Statistics
Volume 10 No. 2, 2014, 186-191

DOI: https://doi.org/10.3844/jmssp.2014.186.191

Submitted On: 12 February 2014 Published On: 31 March 2014

How to Cite: Gharib, M., Ramadan, M. M. & Al-Ajmi, K. A. (2014). CHARACTERIZATION OF MARKOV-BERNOULLI GEOMETRIC DISTRIBUTION RELATED TO RANDOM SUMS. Journal of Mathematics and Statistics, 10(2), 186-191. https://doi.org/10.3844/jmssp.2014.186.191

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Keywords

  • Markov-Bernoulli Geometric Distribution
  • Random Sum
  • Random Truncation
  • Characterization