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IJAMR International Journal of Applied Mathematical Research E-ISSN 2227-4324

Confidence interval for number of population in dynamical stochastic exponential population growth models

Authors and Affiliations

  • Morteza Khodabin Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran.
  • Mohammad Ahmad Naeini

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Abstract

In this paper, the confidence interval for the solution of stochastic exponential population growth model where the so-called parameter, population growth rate is not completely definite and it depends on some random environmental effects is obtained. We use Iran population data in the period 1921-2006 as an example.


References

[1] B. Oksendal, Stochastic Differential Equations, An Introduction with Applications, Fifth Edition, Springer-Verlag, New York, (1998).

[2] Kamel Al-Khaled, Numerical approximations for population growth models, Applied Mathematics and Computation 160 (2005) 865-873.

[3] khodabin, M., Maleknejad, K., Rostami, M., Nouri,M. Interpolation solution in generalized stochastic exponential population growth model, Mathematical and Computer Modelling, 53: 1910-1920. (2011).


How to Cite

Khodabin, M., & Naeini, M. A. (2013). Confidence interval for number of population in dynamical stochastic exponential population growth models. International Journal of Applied Mathematical Research, 2(3), 403-407. https://doi.org/10.14419/ijamr.v2i3.987