Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective

Autores
Ferreyra, Ricardo Tomás
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
A semantic connection between nonlinear or linear dynamical systems and statistical Gaussian distributions is developed as a theory. This connection is applied to predict changes in the Gaussian distribution when models of a complexsystem are available for making decisions in any operational research framework. A typical real case is considered in the analysis and the application of the theory is explained. As a theoretical extension, modified confidence intervals and extended hypothesis testing related to inferential statistics are briefly discussed to consider the global impact of this developed tool.
https://www.informs.org/Attend-a-Conference/Conference-Calendar/EURO-INFORMS-Joint-International-Meeting
Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
Otras Ingenierías y Tecnologías
Materia
Semantic connection
Dynamical sistems
Gaussian distributions
Complex systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/25331
Acceder
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oai_identifier_str oai:rdu.unc.edu.ar:11086/25331
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspectiveFerreyra, Ricardo TomásSemantic connectionDynamical sistemsGaussian distributionsComplex systemsFil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.A semantic connection between nonlinear or linear dynamical systems and statistical Gaussian distributions is developed as a theory. This connection is applied to predict changes in the Gaussian distribution when models of a complexsystem are available for making decisions in any operational research framework. A typical real case is considered in the analysis and the application of the theory is explained. As a theoretical extension, modified confidence intervals and extended hypothesis testing related to inferential statistics are briefly discussed to consider the global impact of this developed tool.https://www.informs.org/Attend-a-Conference/Conference-Calendar/EURO-INFORMS-Joint-International-MeetingFil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Otras Ingenierías y Tecnologías2013info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/11086/25331enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-11-06T09:38:29Zoai:rdu.unc.edu.ar:11086/25331Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-11-06 09:38:29.687Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
title Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
spellingShingle Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
Ferreyra, Ricardo Tomás
Semantic connection
Dynamical sistems
Gaussian distributions
Complex systems
title_short Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
title_full Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
title_fullStr Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
title_full_unstemmed Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
title_sort Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
dc.creator.none.fl_str_mv Ferreyra, Ricardo Tomás
author Ferreyra, Ricardo Tomás
author_facet Ferreyra, Ricardo Tomás
author_role author
dc.subject.none.fl_str_mv Semantic connection
Dynamical sistems
Gaussian distributions
Complex systems
topic Semantic connection
Dynamical sistems
Gaussian distributions
Complex systems
dc.description.none.fl_txt_mv Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
A semantic connection between nonlinear or linear dynamical systems and statistical Gaussian distributions is developed as a theory. This connection is applied to predict changes in the Gaussian distribution when models of a complexsystem are available for making decisions in any operational research framework. A typical real case is considered in the analysis and the application of the theory is explained. As a theoretical extension, modified confidence intervals and extended hypothesis testing related to inferential statistics are briefly discussed to consider the global impact of this developed tool.
https://www.informs.org/Attend-a-Conference/Conference-Calendar/EURO-INFORMS-Joint-International-Meeting
Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
Otras Ingenierías y Tecnologías
description Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11086/25331
url http://hdl.handle.net/11086/25331
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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score 12.576249

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