We consider a stochastic model for the hyperlogistic curve, a general growth curve that includes well known models, such as Malthus, logistic and Bertalanffy. The problem of the estimation of the param- eters is addressed by means of the maximum likelihood method. Due to the complexity of the resulting system of equations, the solution is approximated via metaheuristic procedures, concretely the Moth-Flame Optimization (MFO) algorithm.
Estimating a Time-Inhomogeneous Hyperlogistic Diffusion Process
Albano G.;Giorno V.;
2025
Abstract
We consider a stochastic model for the hyperlogistic curve, a general growth curve that includes well known models, such as Malthus, logistic and Bertalanffy. The problem of the estimation of the param- eters is addressed by means of the maximum likelihood method. Due to the complexity of the resulting system of equations, the solution is approximated via metaheuristic procedures, concretely the Moth-Flame Optimization (MFO) algorithm.File in questo prodotto:
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