Solving parameter estimation problem in new product diffusion models.
This paper proposes a method for parameter identification in new product diffusion models. The method works when the solution of the differential equation describing the model is known or not. The method is based on a finite differences method and the moving least squares method for data smoothing. It is simple to implement and the computing time is very small. Numerical experiments are provided.
scientific article; zbMATH DE number 1861030