dc.creator | Urbano, Mariana Ragassi | |
dc.creator | Borges Demetrio, Clarice Garcia | |
dc.creator | Cordeiro, Gauss Moutinho | |
dc.date.accessioned | 2013-09-24T16:24:24Z | |
dc.date.accessioned | 2018-07-04T16:15:11Z | |
dc.date.available | 2013-09-24T16:24:24Z | |
dc.date.available | 2018-07-04T16:15:11Z | |
dc.date.created | 2013-09-24T16:24:24Z | |
dc.date.issued | 2012 | |
dc.identifier | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, PHILADELPHIA, v. 41, n. 4, pp. 741-758, APR, 2012 | |
dc.identifier | 0361-0926 | |
dc.identifier | http://www.producao.usp.br/handle/BDPI/33660 | |
dc.identifier | 10.1080/03610926.2010.529537 | |
dc.identifier | http://dx.doi.org/10.1080/03610926.2010.529537 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1633454 | |
dc.description.abstract | A 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.language | eng | |
dc.publisher | TAYLOR & FRANCIS INC | |
dc.publisher | PHILADELPHIA | |
dc.relation | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | |
dc.rights | Copyright TAYLOR & FRANCIS INC | |
dc.rights | restrictedAccess | |
dc.subject | ADJUSTED WALD RESIDUAL | |
dc.subject | BIAS CORRECTION | |
dc.subject | EXPONENTIAL FAMILY | |
dc.subject | GENERALIZED LINEAR MODEL | |
dc.subject | LINK FUNCTION | |
dc.subject | TAYLOR SERIES EXPANSION | |
dc.subject | WALD RESIDUAL | |
dc.title | On Wald Residuals in Generalized Linear Models | |
dc.type | Artículos de revistas | |