Advances and Applications in Statistics

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MODELLING AND FORECASTING WATER PRODUCTIVITY IN MOROCCO BY MEANS OF STOCHASTIC VASICEK MODEL

Authors

  • Nadia Makhlouki
  • Ahmed Nafidi
  • Ilyasse Makroz
  • Boujemaa Achchab

Keywords:

homogeneous Vasicek model, statistical inference, computational aspects, simulation, application to water productivity in Morocco

DOI:

https://doi.org/10.17654/0972361725007

Abstract

We study a stochastic homogeneous Vasicek diffusion process, and determine its characteristics, such as the analytical expression and the trend functions. By using the maximum likelihood approach based on discrete sampling, we estimate parameters and trend functions. To evaluate the capability of this process, we use simulated sample paths of the model and examine the goodness of fit. Finally, we apply the process to fit and predict the total water productivity in Morocco.

Received: August 28, 2024
Revised: October 12, 2024
Accepted: November 11, 2024

References

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Published

04-12-2024

Issue

Vol. 92 No. 1 (2025)

Section

Articles

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How to Cite

MODELLING AND FORECASTING WATER PRODUCTIVITY IN MOROCCO BY MEANS OF STOCHASTIC VASICEK MODEL. (2024). Advances and Applications in Statistics , 92(1), 121-145. https://doi.org/10.17654/0972361725007

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