A Probability Model of a Family Using Branching Process in Relation to Poisson, Logarithmic and Negative Binomial Distribution

Authors

  • Bassa, Shiwaye Yakura Department of Statistics and Operations Research, Modibbo Adama University of Technology, Yola, Adamawa State, Nigeria
  • Suleiman Mohammad Ismail Department of Statistics and Operations Research, Modibbo Adama University of Technology, Yola, Adamawa State, Nigeria.

Keywords:

branching process, Poisson process, family, probability generating function

Abstract

The focus of this work is on the application of a family branching process in Relation to Poisson, Logarithmic and Negative Binomial Distribution. The data used was obtained by personal interview and analyzed using probability generating function in order to obtain the fitted probability model of the family. The model obtained is found to be the probability generating function of negative binomial distribution. This probability model reveals that the number of descendants in every generation increases with the increase of the number of generation. This method employed in this work is suitable for the model of other systems with similar dynamics.

References

Bashir, M. Y. (2015). Stochastic Process. Lecture Note Book. Bayero University Kano, Nigeria.

Gonzalez, M. and Puerto, I. (2010). Branching process: Genealogy and evolution. Estadistica, 26, (2), 109

Haccou P., Jagers P. and Vatutin V. (2005). Branching processes: variation, growth and extinction of populations. U.K, Cambridge: University Press.

Joice, D. F. (2014). The Poisson process: probability and statistics. Kiagbodo, Delta, Nigeria: Clark University.

Walck, C. (2007). Handbook on statistical distributions for experimentalists. University of Stockholm press.

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Published

2023-12-11

How to Cite

Shiwaye Yakura, B., & Mohammad Ismail, S. (2023). A Probability Model of a Family Using Branching Process in Relation to Poisson, Logarithmic and Negative Binomial Distribution. International Journal of Engineering and Mathematical Intelligence (IJEMI) , 5(1&2), 20–34. Retrieved from http://icidr.org.ng/index.php/Ijemi/article/view/419

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Articles