Estimating the parameters of a Gompertz-type diffusion process by means of Simulated Annealing
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摘要
This paper explores the application of the Simulated Annealing algorithm for the maximum likelihood estimation of the parameters of a Gompertz-type process. Firstly, the solution space is bounded using relevant information about the process provided by the sample data. Secondly, a proposal for improvement is made, namely the application of a second cycle of the algorithm, including a refinement factor. Finally, both the specifications for the application of the algorithm and the proposed improvement are validated through their application to simulated and real data.
论文关键词:Gompertz curve,Gompertz-type diffusion process,Maximum likelihood estimation,Random growth,Simulated Annealing
论文评审过程:Available online 23 November 2011.
论文官网地址:https://doi.org/10.1016/j.amc.2011.10.077