Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/12340
Title: An algorithm to estimate the risk of child labor
Authors: Quiñones Fabian, Ricky Bryan
Inga Lopez, Abel Jesus
Andamayo Alcantara, Ruben Aldair
Deza Quispe, Jimmy Alberth
Huaytalla Pariona, Jaime Antonio
metadata.dc.contributor.advisor: Huaytalla Pariona, Jaime Antonio
Keywords: Trabajo infantil
Pobreza
Clases sociales
Publisher: Universidad Continental
Issue Date: 2022
metadata.dc.date.available: 16-Jan-2023
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.
metadata.dc.identifier.doi: https://doi.org/10.5267/j.dsl.2022.5.004
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.
Extension: p. 521-528
metadata.dc.rights.accessRights: Acceso abierto
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
Appears in Collections:Tesis

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