Cortés, J.; Navarro-Quiles, A.; Romero, J.; Roselló, M. (2019). A probabilistic analysis of a Beverton-Holt type discrete model: Theoretical and computing analysis. Computational and Mathematical Methods. 1(1):1-12. https://doi.org/10.1002/cmm4.1013
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/139662
Title:
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A probabilistic analysis of a Beverton-Holt type discrete model: Theoretical and computing analysis
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Author:
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Cortés, J.-C.
Navarro-Quiles, A.
Romero, José-Vicente
Roselló, María-Dolores
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UPV Unit:
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Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
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Issued date:
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Abstract:
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[EN] In this paper a randomized version of the Beverton-Holt type discrete model is proposed. Its solution stochastic process and the random steady state are determined. Its first probability density function and second ...[+]
[EN] In this paper a randomized version of the Beverton-Holt type discrete model is proposed. Its solution stochastic process and the random steady state are determined. Its first probability density function and second probability density function are obtained by means of the random variable transformation method, providing a full probabilistic description of the solution. Finally, several numerical examples are shown.
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Subjects:
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Random variable transformation method
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Randomized Beverton-Holt type discrete model
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First and second probability density functions
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Computational and Mathematical Methods. (eissn:
2577-7408
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DOI:
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10.1002/cmm4.1013
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Publisher:
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John Wiley & Sons
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Publisher version:
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https://doi.org/https://doi.org/10.1002/cmm4.1013
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Project ID:
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AEI/MTM2017-89664-P-AR
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Description:
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"This is the peer reviewed version of the following article: Cortés, J-C, Navarro-Quiles, A, Romero, J-V, Roselló, M-D. A probabilistic analysis of a Beverton-Holt type discrete model: Theoretical and computing analysis. Comp and Math Methods. 2019; 1:e1013, which has been published in final form at https://doi.org/10.1002/cmm4.1013. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."
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Thanks:
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This work has been partially supported by the Ministerio de Economía, Industria y Competitividad under grant MTM2017-89664-P. The authors express their deepest thanks and respect to the editors and reviewers for their ...[+]
This work has been partially supported by the Ministerio de Economía, Industria y Competitividad under grant MTM2017-89664-P. The authors express their deepest thanks and respect to the editors and reviewers for their valuable comments.
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Type:
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Artículo
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