Modelling and Forecasting Individuals Using the Internet (% of Population) in Morocco

This study introduces a new stochastic diffusion process that is based on the generalized Goel-Okumoto curve. By analyzing the corresponding stochastic differential equation (SDE), we can accurately determine the probabilistic characteristics of the process, including its solution, transition density probability function, and distribution. To estimate the model parameters, we employ the maximum likelihood method and utilize discrete sampling. This allows us to formulate a nonlinear equation that can be efficiently solved using metaheuristic optimization algorithms like simulated annealing. The proposed model is then applied to fit and forecast data on Individuals using the Internet (% of population) in Morocco.