Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/12340
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dc.contributor.advisorHuaytalla Pariona, Jaime Antonioes_ES
dc.contributor.authorQuiñones Fabian, Ricky Bryanes_ES
dc.contributor.authorInga Lopez, Abel Jesuses_ES
dc.contributor.authorAndamayo Alcantara, Ruben Aldaires_ES
dc.contributor.authorDeza Quispe, Jimmy Alberthes_ES
dc.contributor.authorHuaytalla Pariona, Jaime Antonioes_ES
dc.date.accessioned2023-01-16T21:15:51Z-
dc.date.available2023-01-16T21:15:51Z-
dc.date.issued2022-
dc.identifier.citationQuiñones, R., Inga, A., Andamayo, R., Huaytalla, J. y Deza, J. (2022). An algorithm to estimate the risk of child labor. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú.es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12394/12340-
dc.description.abstractIn developing countries, child labor has become a significant problem with adverse effects in the present and future for society and individuals. There are many causes that obligate children to abandon school and start working. Economic, social, familiar, and personal problems can expel children from school, inhibiting them from living appropriately. Polls like the ENAHO in Peru tried to recollect relevant data as much as possible to explain this problem. With many variables, it is necessary to have a methodology to build an algorithm with enough explanatory power to explain the situation. Therefore, this research elaborated an algorithm through Lasso to proportionate a statistical explanation of child labor. Due to the type of data, the regression was logistic.es_ES
dc.formatapplication/pdfes_ES
dc.format.extentp. 521-528es_ES
dc.language.isoenges_ES
dc.publisherUniversidad Continentales_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceUniversidad Continentales_ES
dc.sourceRepositorio Institucional - Continentales_ES
dc.subjectTrabajo infantiles_ES
dc.subjectPobrezaes_ES
dc.subjectClases socialeses_ES
dc.titleAn algorithm to estimate the risk of child labores_ES
dc.typeinfo:eu-repo/semantics/bachelorThesises_ES
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.accessRightsAcceso abiertoes_ES
dc.publisher.countryPEes_ES
thesis.degree.nameIngeniero Mecatrónicoes_ES
thesis.degree.grantorUniversidad Continental. Facultad de Ingeniería.es_ES
thesis.degree.disciplineIngeniería Mecatrónicaes_ES
thesis.degree.programPregrado presencial regulares_ES
dc.identifier.doihttps://doi.org/10.5267/j.dsl.2022.5.004es_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#2.02.02es_ES
renati.advisor.dni48560801-
renati.advisor.orcidhttps://orcid.org/0000-0002-2615-8733es_ES
renati.author.dni71700321-
renati.author.dni60354789-
renati.author.dni71431387-
renati.author.dni76845782-
renati.discipline713096es_ES
renati.levelhttps://purl.org/pe-repo/renati/level#tituloProfesionales_ES
renati.typehttps://purl.org/pe-repo/renati/type#tesises_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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