Examinando por Materia "R software"

Mostrando 1 - 7 de 7
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    Datos atípicos en las predicciones: una solución al problema
    (2021-06-10) Martinez Guerrero, Christian Alexander; Christian Alexander Martinez-Guerrero; Velasco, Henry; Laniado, Henry; Toro, Mauricio; Leiva, Victor; Lio, Yuhlong; Vicerrectoría de Descubrimiento y Creación
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    Datos atípicos en las predicciones: una solución al problema
    (Universidad EAFIT, 2020-12-01) Martinez Guerrero, Christian Alexander; Martinez-Guerrero, Christian Alexander; Velasco, Henry; Laniado, Henry; Toro, Mauricio; Leiva, Victor; Yuhlong, Lio; Estudios en Mantenimiento
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    Henry Velasco, un ingeniero que cambió su vida en EAFIT
    (2021-04-05) Martinez Guerrero, Christian Alexander; Christian Alexander Martinez-Guerrero; Velasco, Henry; Laniado, Henry; Toro, Mauricio; Leiva, Victor; Lio, Yuhlong; Vicerrectoría de Descubrimiento y Creación
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    Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers
    (MDPI AG, 2020-01-01) Velasco H.; Laniado H.; Toro M.; Leiva V.; Lio Y.; Universidad EAFIT. Escuela de Ciencias; Modelado Matemático
    Both cell-wise and case-wise outliers may appear in a real data set at the same time. Few methods have been developed in order to deal with both types of outliers when formulating a regression model. In this work, a robust estimator is proposed based on a three-step method named 3S-regression, which uses the comedian as a highly robust scatter estimate. An intensive simulation study is conducted in order to evaluate the performance of the proposed comedian 3S-regression estimator in the presence of cell-wise and case-wise outliers. In addition, a comparison of this estimator with recently developed robust methods is carried out. The proposed method is also extended to the model with continuous and dummy covariates. Finally, a real data set is analyzed for illustration in order to show potential applications. © 2020 by the authors.
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    Ítem
    Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers
    (MDPI AG, 2020-01-01) Velasco H.; Laniado H.; Toro M.; Leiva V.; Lio Y.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Estudios en Mantenimiento (GEMI)
    Both cell-wise and case-wise outliers may appear in a real data set at the same time. Few methods have been developed in order to deal with both types of outliers when formulating a regression model. In this work, a robust estimator is proposed based on a three-step method named 3S-regression, which uses the comedian as a highly robust scatter estimate. An intensive simulation study is conducted in order to evaluate the performance of the proposed comedian 3S-regression estimator in the presence of cell-wise and case-wise outliers. In addition, a comparison of this estimator with recently developed robust methods is carried out. The proposed method is also extended to the model with continuous and dummy covariates. Finally, a real data set is analyzed for illustration in order to show potential applications. © 2020 by the authors.
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    Ítem
    Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers
    (MDPI AG, 2020-01-01) Velasco H.; Laniado H.; Toro M.; Leiva V.; Lio Y.; Velasco H.; Laniado H.; Toro M.; Leiva V.; Lio Y.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    Both cell-wise and case-wise outliers may appear in a real data set at the same time. Few methods have been developed in order to deal with both types of outliers when formulating a regression model. In this work, a robust estimator is proposed based on a three-step method named 3S-regression, which uses the comedian as a highly robust scatter estimate. An intensive simulation study is conducted in order to evaluate the performance of the proposed comedian 3S-regression estimator in the presence of cell-wise and case-wise outliers. In addition, a comparison of this estimator with recently developed robust methods is carried out. The proposed method is also extended to the model with continuous and dummy covariates. Finally, a real data set is analyzed for illustration in order to show potential applications. © 2020 by the authors.
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    Sistematización del procesamiento de metadatos y datos taxonómicos de cámaras trampa para la generación y publicación de DwC
    (Universidad EAFIT, 2024) Grisales Betancur, Valentina; Serna González, Mauricio; Sánchez Giraldo, Camilo; Pérez Navarro, Valentina; Sánchez Giraldo, Camilo
    Camera traps are a widely used tool to study and monitor biodiversity, benefiting researchers as well as the community at large, including park rangers, nature reserve owners, and conservation stakeholders. These monitoring efforts generate large volumes of data of value to science, contributing to the understanding of biodiversity, especially mammals. However, the complexity associated with the processing and analysis of this information is evident, since it requires technical knowledge of taxonomy and format management skills, hindering its publication on platforms such as the Global Biodiversity Information Facility (GBIF) and the Biodiversity Information System (SIB Colombia). Recognizing the importance of disseminating camera trap data for biodiversity management, we propose a workflow in R for processing these data efficiently, without the need for in-depth taxonomic knowledge and automating the generation of the Darwin Core format (Dwc). In contrast to other tools available for biodiversity data processing, our proposal focuses on promoting and simplifying the publication of data by the academic community and non-academic actors, guaranteeing the technical quality of the data, the accuracy of the taxonomy used and reducing the time required to fill out forms for publication. To validate the most efficient management in terms of reducing the time spent in processing biodiversity data, a dataset obtained in El Globo Natural Reserve (Támesis, Antioquia) was used. From the results obtained in an experimental test with a total of 10 expert and non-expert volunteers, it is concluded that the implementation of the workflow allows a reduction in the time spent in data processing and the completion of the DwC format. In addition to speeding up the process, this automation reduces the workload and potentially reduces errors in completing the form.