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A Stochastic Schumacher Diffusion Process: Probability Characteristics Computation and Statistical Analysis

Author

Listed:
  • Ahmed Nafidi

    (Hassan First University of Settat, National School of Applied Sciences)

  • Abdenbi El Azri

    (Hassan First University of Settat, National School of Applied Sciences)

  • Ramón Gutiérrez-Sánchez

    (University of Granada)

Abstract

The principal goal of this article is to establish a methodological approach to computational statistical analysis for a new in-homogeneous stochastic diffusion process with mean function corresponds to the Schumacher curve. Firstly, we analyse the principal probabilistic characteristics like the functions of the mean and the transition probability density of the process. So, the parameters estimation appearing in the current process are determined by the maximum likelihood approach with discrete sampling. Finally, so as to provide the performance of the proposed process, we will apply these computational statistical results to simulated data based on a discretization of the analytical expression of the process by justifying the fit and prediction possibilities.

Suggested Citation

  • Ahmed Nafidi & Abdenbi El Azri & Ramón Gutiérrez-Sánchez, 2023. "A Stochastic Schumacher Diffusion Process: Probability Characteristics Computation and Statistical Analysis," Methodology and Computing in Applied Probability, Springer, vol. 25(2), pages 1-15, June.
    • Handle: RePEc:spr:metcap:v:25:y:2023:i:2:d:10.1007_s11009-023-10031-4
    DOI: 10.1007/s11009-023-10031-4
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    References listed on IDEAS

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