Published

2004-07-01

UN CRITERIO PARA IDENTIFICAR DATOS ATÍPICOS

Keywords:

Modelos lineales, mínimos cuadrados, formas cuadráticas, observaciones atípicas, estadística Qk (es)
Linear models, Least squares, Quadratic forms, Outliers, Qk Statistics (en)

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Authors

  • José Alfredo Jiménez Moscoso Universidad Nacional de Colombia
En este artículo se presenta un método para determinar las observaciones que son atípicas en un modelo de regresión lineal múltiple; estos datos se establecerán de acuerdo al cambio que ejercen sobre la suma de los cuadrados de residuales del modelo.
This paper present a method to determine the observations that are outliers in a model of multiple linear regression; these data will be established according to the change that is presented on the sum of the squares of residual of the model.

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How to Cite

Jiménez Moscoso, J. A. (2004). UN CRITERIO PARA IDENTIFICAR DATOS ATÍPICOS. Revista Colombiana De Estadística, 27(2), 109-121. https://revistas.unal.edu.co/index.php/estad/article/view/28709

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Copyright (c) 2004 Revista Colombiana de Estadística

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