dc.contributorLaniado Rodas, Henry
dc.creatorVelasco Vera, Henry Giovanny
dc.date.accessioned2019-02-14T19:28:23Z
dc.date.accessioned2022-09-23T20:59:16Z
dc.date.available2019-02-14T19:28:23Z
dc.date.available2022-09-23T20:59:16Z
dc.date.created2019-02-14T19:28:23Z
dc.date.issued2018
dc.identifierhttp://hdl.handle.net/10784/13405
dc.identifier519.5 V433
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3523944
dc.description.abstractCellwise 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.
dc.languagespa
dc.publisherMaestría en Matemáticas Aplicadas
dc.publisherEscuela de Ciencias. Departamento de Ciencias Básicas
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.rightsAcceso cerrado
dc.subjectregresión
dc.titleRobust three-step regression based on comedian and its performance in cellwise and casewise outliers
dc.typemasterThesis
dc.typeinfo:eu-repo/semantics/masterThesis


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