dc.creatorUrbano, Mariana Ragassi
dc.creatorBorges Demetrio, Clarice Garcia
dc.creatorCordeiro, Gauss Moutinho
dc.date.accessioned2013-09-24T16:24:24Z
dc.date.accessioned2018-07-04T16:15:11Z
dc.date.available2013-09-24T16:24:24Z
dc.date.available2018-07-04T16:15:11Z
dc.date.created2013-09-24T16:24:24Z
dc.date.issued2012
dc.identifierCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS, PHILADELPHIA, v. 41, n. 4, pp. 741-758, APR, 2012
dc.identifier0361-0926
dc.identifierhttp://www.producao.usp.br/handle/BDPI/33660
dc.identifier10.1080/03610926.2010.529537
dc.identifierhttp://dx.doi.org/10.1080/03610926.2010.529537
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1633454
dc.description.abstractA rigorous asymptotic theory for Wald residuals in generalized linear models is not yet available. The authors provide matrix formulae of order O(n(-1)), where n is the sample size, for the first two moments of these residuals. The formulae can be applied to many regression models widely used in practice. The authors suggest adjusted Wald residuals to these models with approximately zero mean and unit variance. The expressions were used to analyze a real dataset. Some simulation results indicate that the adjusted Wald residuals are better approximated by the standard normal distribution than the Wald residuals.
dc.languageeng
dc.publisherTAYLOR & FRANCIS INC
dc.publisherPHILADELPHIA
dc.relationCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS
dc.rightsCopyright TAYLOR & FRANCIS INC
dc.rightsrestrictedAccess
dc.subjectADJUSTED WALD RESIDUAL
dc.subjectBIAS CORRECTION
dc.subjectEXPONENTIAL FAMILY
dc.subjectGENERALIZED LINEAR MODEL
dc.subjectLINK FUNCTION
dc.subjectTAYLOR SERIES EXPANSION
dc.subjectWALD RESIDUAL
dc.titleOn Wald Residuals in Generalized Linear Models
dc.typeArtículos de revistas


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