IDENTIFICACIÓN DE MÚLTIPLES OBSERVACIONES DISCREPANTES EN EL ANÁLISIS DE REGRESIÓN
DOI:
https://doi.org/10.15381/pes.v4i2.9287Abstract
Se presentan métodos de diagnóstico de datos discrepantes e influyentes en el análisis de regresión. Estos métodos se basan en el ajuste robusto LMS y el elipsoide de volumen mínimo (MVE), los cuales no son afectados por el problema de enmascaramiento cuando el conjunto de datos contiene más de una observación discrepante y/o influyente.Downloads
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Copyright (c) 2001 Ysela Dominga Agüero Palacios
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