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dc.contributor.authorAllende, Sira
dc.contributor.authorBouza, Carlos
dc.contributor.authorRomero, Isidro
dc.date.accessioned2007-12-07T10:21:46Z
dc.date.available2007-12-07T10:21:46Z
dc.date.issued1995
dc.identifier.citationAllende, Sira; Bouza, Carlos; Romero, Isisdro. "Fitting a linear regression model by combining least squares and least absolute value estimation". Qüestiió. 1995, vol. 19, núm. 1-3
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4056
dc.description.abstractRobust estimation of the multiple regression is modeled by using a convex combination of Least Squares and Least Absolute Value criterions. A Bicriterion Parametric algorithm is developed for computing the corresponding estimates. The proposed procedure should be specially useful when outliers are expected. Its behavior is analyzed using some examples.
dc.format.extent16 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.lcshInference
dc.subject.otherOutliers in regression
dc.subject.otherL1 regression
dc.subject.otherBicriterion parametric algorithm
dc.titleFitting a linear regression model by combining least squares and least absolute value estimation
dc.typeArticle
dc.subject.lemacInferència
dc.subject.amsClassificació AMS::62 Statistics::62F Parametric inference
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.rights.accessOpen Access
local.ordre7
local.personalitzacitaciotrue


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