most citedApplications of the multi-sigmoidal deterministic and stochastic logistic models for plant dynamics

29 citations · 97 across the 6 of their papers we have counts for

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6 papers

stat.ME202413 cited

A hyperbolastic type-I diffusion process: Parameter estimation bymeans of the firefly algorithm

Antonio Barrera, Patricia Román-Román, Francisco Torres-Ruiz

A stochastic diffusion process, whose mean function is a hyperbolastic curve of type I, is presented. Themain characteristics of the process are studied and the problem of maximum…

cond-mat.stat-mech202420 cited

Study of a general growth model

G. Albano, V. Giorno, P. Román-Román +1

We discuss a general growth curve including several parameters, whose choice leads to a variety of models including the classical cases of Malthusian, Richards, Gompertz, Logistic…

stat.ME20245 cited

The Hubbert diffusion process: Estimation via simulated annealing and variable neighborhood search procedures. Application to forecasting peak oil production

Istoni da Luz Sant'Ana, Patricia Román-Román, Francisco Torres-Ruiz

Accurately charting the progress of oil production is a problem of great current interest. Oil production is widely known to be cyclical: in any given system, after it reaches its…

math.ST202422 cited

A Note on Estimation of Multi-Sigmoidal Gompertz Functions with Random Noise

Patricia Román-Román, Juan José Serrano-Pérez, Francisco Torres-Ruiz

The behaviour of many dynamic real phenomena shows different phases, with each one following a sigmoidal type pattern. This requires studying sigmoidal curves with more than one in…

stat.ME20248 cited

Statistical analysis and first-passage-time applications of a lognormal diffusion process withmulti-sigmoidal logistic mean

Antonio Di Crescenzo, Paola Paraggio, Patricia Román-Román +1

We consider a lognormal diffusion process having a multisigmoidal logistic mean, useful to model the evolution of a population which reaches the maximum level of the growth after m…

q-bio.PE202429 cited

Applications of the multi-sigmoidal deterministic and stochastic logistic models for plant dynamics

Antonio Di Crescenzo, Paola Paraggio, Patricia Román-Román +1

We consider a generalization of the classical logistic growth model introducing more than one inflection point. The growth, called multi-sigmoidal, is firstly analyzed from a deter…