Examinando por Materia "3S-regression"

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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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    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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    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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    Robust three-step regression based on comedian and its performance in cellwise and casewise outliers
    (2018) Velasco Vera, Henry Giovanny; Laniado Rodas, Henry
    Cellwise and casewise outliers may appear both at the same time in real data. Few methods have developed statistical methods to deal both types of outliers in regression models. We propose a new three-step regression method that uses the comedian as highly robust scatter estimate in a known threestep regression (3S-regression). The procedure introduced here, shows in general, an outperformance respect to recent robust methods. We test the comedian three-step regression (C3S-regression) in both synthetic and real data. The results of this paper show that the proposed C3S-regression is highly robust in presence of cellwise and casewise outliers. We also extend the results to models with continuous and dummy covariates.