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Muestreo de Estructuras de Redes en Datos no Estructurados

dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.advisorTrujillo Oyola, Leonardo
dc.contributor.advisorRamirez Gil, Joaquin Guillermo
dc.contributor.authorVelásquez Tafur, Luis David
dc.date.accessioned2024-01-16T16:26:36Z
dc.date.available2024-01-16T16:26:36Z
dc.date.issued2023-11-02
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/85329
dc.descriptionilustraciones, diagramas
dc.description.abstractEste trabajo aborda el problema práctico en la industria fitosanitaria de la producción de arroz mediante la implementación de una metodología de muestreo estadístico en redes. Se analizan diversos métodos para el muestreo en redes, incluyendo muestreo aleatorio simple, estimador Horvitz Thompson, clasificación no supervisada, y estimación Monte Carlo. Se exploran también muestreos de redes, enfocándose en nodos y conexiones específicas. Luego, se aplican estos conceptos al muestreo fitosanitario en cultivos de arroz utilizando datos de Fedearroz. (Texto tomado de la fuente)
dc.description.abstractThis work addresses the practical problem in the phytosanitary industry of rice production through the implementation of a statistical sampling methodology in networks. Various methods for network sampling are analyzed, including simple random sampling, Horvitz Thompson estimator, unsupervised classification, and Monte Carlo estimation. Network samplings are also explored, focusing on specific nodes and connections. Subsequently, these concepts are applied to phytosanitary sampling in rice crops using data from Fedearroz.
dc.format.extentxi, 69 páginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc310 - Colecciones de estadística general
dc.subject.ddc000 - Ciencias de la computación, información y obras generales
dc.titleMuestreo de Estructuras de Redes en Datos no Estructurados
dc.typeTrabajo de grado - Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programBogotá - Ciencias - Maestría en Ciencias - Estadística
dc.description.degreelevelMaestría
dc.description.degreenameMagister en estadística
dc.description.researchareaMuestreo estadístico
dc.description.technicalinfoMuestreo en redes
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.facultyFacultad de Ciencias
dc.publisher.placeBogotá, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.lembIndustrias de semillas de arroz
dc.subject.lembRice seed industry
dc.subject.lembEstadísticas y datos numéricos
dc.subject.lembStatistics & numerical data
dc.subject.proposalMuestreo de grafos
dc.subject.proposalRedes
dc.subject.proposalCultivos de arroz
dc.subject.proposalMuestreo de caminatas aleatorias
dc.subject.proposalMuestreo basado en nodos
dc.subject.proposalGraph sampling
dc.subject.proposalNetworks
dc.subject.proposalRice crops
dc.subject.proposalRandom walk sampling
dc.subject.proposalNode-based sampling
dc.title.translatedSampling of Network Structures in Unstructured Data
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dcterms.audience.professionaldevelopmentEstudiantes


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit