Measurement error models with a general class of error distribution

dc.creatorPATRIOTA, Alexandre Galvao
dc.creatorBOLFARINE, Heleno
dc.date.accessioned2012-10-20T04:44:30Z
dc.date.accessioned2018-07-04T15:46:11Z
dc.date.available2012-10-20T04:44:30Z
dc.date.available2018-07-04T15:46:11Z
dc.date.created2012-10-20T04:44:30Z
dc.date.issued2010
dc.identifierSTATISTICS, v.44, n.2, p.119-127, 2010
dc.identifier0233-1888
dc.identifierhttp://producao.usp.br/handle/BDPI/30478
dc.identifier10.1080/02331880903023795
dc.identifierhttp://dx.doi.org/10.1080/02331880903023795
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627117
dc.description.abstractIn general, the normal distribution is assumed for the surrogate of the true covariates in the classical error model. This paper considers a class of distributions, which includes the normal one, for the variables subject to error. An estimation approach yielding consistent estimators is developed and simulation studies reported.
dc.languageeng
dc.publisherTAYLOR & FRANCIS LTD
dc.relationStatistics
dc.rightsCopyright TAYLOR & FRANCIS LTD
dc.rightsrestrictedAccess
dc.subjectmultiple regression
dc.subjectmeasurement error
dc.subjectcorrected score
dc.subjectasymptotic theory
dc.subjectsimulation
dc.titleMeasurement error models with a general class of error distribution
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución