A new stochastic Gompertz diffusion process with threshold parameter: computational aspects and applications
DOI10.1016/j.amc.2006.05.099zbMath1109.65012OpenAlexW2002588800MaRDI QIDQ865510
Publication date: 19 February 2007
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.099
parameter estimationsimulationnumerical examplesNewton-Raphson methodmaximum likelihoodstatistical inferenceKolmogorov equationsdiscrete samplingaverage monthly salary costGompertz diffusion with threshold parameterItô's stochastic differential equations
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Cites Work
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- Inference on some parametric functions in the univariate lognormal diffusion process with exogenous factors
- Martingale estimation functions for discretely observed diffusion processes
- The stochastic Rayleigh diffusion model: Statistical inference and computational aspects. applications to modelling of real cases
- Inference and first-passage-times for the lognormal diffusion process with exogenous factors: application to modelling in economics
- On effects of discretization on estimators of drift parameters for diffusion processes
- INFERENCE IN GOMPERTZ-TYPE NONHOMOGENEOUS STOCHASTIC SYSTEMS BY MEANS OF DISCRETE SAMPLING
- Parameter Estimation in a Gompertzian Stochastic Model for Tumor Growth
- A Stochastic Formulation of the Gompertzian Growth Model forin vitro Bactericidal Kinetics: Parameter Estimation and Extinction Probability
- On reducible nonlinear time-delayed stochastic systems: fluctuation–dissipation relations, transitions to bistability, and secondary transitions to non-stationarity
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