Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12394/12340
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Huaytalla Pariona, Jaime Antonio | es_ES |
dc.contributor.author | Quiñones Fabian, Ricky Bryan | es_ES |
dc.contributor.author | Inga Lopez, Abel Jesus | es_ES |
dc.contributor.author | Andamayo Alcantara, Ruben Aldair | es_ES |
dc.contributor.author | Deza Quispe, Jimmy Alberth | es_ES |
dc.contributor.author | Huaytalla Pariona, Jaime Antonio | es_ES |
dc.date.accessioned | 2023-01-16T21:15:51Z | - |
dc.date.available | 2023-01-16T21:15:51Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Quiñones, 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.uri | https://hdl.handle.net/20.500.12394/12340 | - |
dc.description.abstract | In 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.format | application/pdf | es_ES |
dc.format.extent | p. 521-528 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Universidad Continental | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | es_ES |
dc.source | Universidad Continental | es_ES |
dc.source | Repositorio Institucional - Continental | es_ES |
dc.subject | Trabajo infantil | es_ES |
dc.subject | Pobreza | es_ES |
dc.subject | Clases sociales | es_ES |
dc.title | An algorithm to estimate the risk of child labor | es_ES |
dc.type | info:eu-repo/semantics/bachelorThesis | es_ES |
dc.rights.license | Attribution 4.0 International (CC BY 4.0) | es_ES |
dc.rights.accessRights | Acceso abierto | es_ES |
dc.publisher.country | PE | es_ES |
thesis.degree.name | Ingeniero Mecatrónico | es_ES |
thesis.degree.grantor | Universidad Continental. Facultad de Ingeniería. | es_ES |
thesis.degree.discipline | Ingeniería Mecatrónica | es_ES |
thesis.degree.program | Pregrado presencial regular | es_ES |
dc.identifier.doi | https://doi.org/10.5267/j.dsl.2022.5.004 | es_ES |
dc.subject.ocde | http://purl.org/pe-repo/ocde/ford#2.02.02 | es_ES |
renati.advisor.dni | 48560801 | - |
renati.advisor.orcid | https://orcid.org/0000-0002-2615-8733 | es_ES |
renati.author.dni | 71700321 | - |
renati.author.dni | 60354789 | - |
renati.author.dni | 71431387 | - |
renati.author.dni | 76845782 | - |
renati.discipline | 713096 | es_ES |
renati.level | https://purl.org/pe-repo/renati/level#tituloProfesional | es_ES |
renati.type | https://purl.org/pe-repo/renati/type#tesis | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
Appears in Collections: | Tesis |
Files in This Item:
File | Description | Size | Format | |
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IV_FIN_112_Autorizacion_2024.pdf.pdf Restricted Access | Autorización | 151.53 kB | Adobe PDF | View/Open Request a copy |
IV_FIN_112_TE_Quiñones_Inga_Andamayo_Huaytalla_Deza_2022.pdf | Andamayo Alcantara, Ruben Aldair; Quiñones Fabian, Ricky Bryan; Inga Lopez, Abel Jesus; Huaytalla Pariona, Jaime Antonio; Deza Quispe, Jimmy Alberth | 2.31 MB | Adobe PDF | View/Open |
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