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Diffusion Processes for Weibull-Based Models

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12013))

Abstract

A stochastic diffusion process based on a generalization of the Weibull curve, depending on a parametric function and initial values, is considered. One particular case is the hyperbolastic curve of type III, successfully applied in growth dynamics. We also proposed a basic methodology to address the issue related with the estimation of the parameters of the generic function from a discrete sampling of observations.

This work was supported in part by the Ministerio de Economí­a y Competitividad, Spain, under Grant MTM2017-85568-P.

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References

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Correspondence to Antonio Barrera .

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Barrera, A., Román-Román, P., Torres-Ruiz, F. (2020). Diffusion Processes for Weibull-Based Models. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12013. Springer, Cham. https://doi.org/10.1007/978-3-030-45093-9_25

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  • DOI: https://doi.org/10.1007/978-3-030-45093-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45092-2

  • Online ISBN: 978-3-030-45093-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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