Examinando por Materia "Rocke S-estimator"
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Ítem 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 CreaciónÍtem 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 MantenimientoÍtem 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 CreaciónÍtem 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 ComunicacionesBoth 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.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. Escuela de Ciencias; Modelado MatemáticoBoth 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.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.