A new graphical tool of outliers detection in regression models based on recursive estimation

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dc.creatorParoissin, Christian
dc.date2007-07-02
dc.date.accessioned2026-07-07T08:13:33Z
dc.date.available2026-07-07T08:13:33Z
dc.descriptionWe present in this paper a new tool for outliers detection in the context of multiple regression models. This graphical tool is based on recursive estimation of the parameters. Simulations were carried out to illustrate the performance of this graphical procedure. As a conclusion, this tool is applied to real data containing outliers according to the classical available tools.
dc.identifierhttps://arxiv.org/abs/0707.0246
dc.identifierhttp://arxiv.org/abs/0707.0246
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/132809
dc.subjectMethodology
dc.subject62J02,62J20,62L1
dc.titleA new graphical tool of outliers detection in regression models based on recursive estimation
dc.typetext

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