dc.creatorMONTENEGRO, Lourdes C.
dc.creatorBOLFARINE, Heleno
dc.creatorLACHOS, Victor H.
dc.date.accessioned2012-10-20T04:44:46Z
dc.date.accessioned2018-07-04T15:46:21Z
dc.date.available2012-10-20T04:44:46Z
dc.date.available2018-07-04T15:46:21Z
dc.date.created2012-10-20T04:44:46Z
dc.date.issued2009
dc.identifierCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.38, n.4, p.667-681, 2009
dc.identifier0361-0918
dc.identifierhttp://producao.usp.br/handle/BDPI/30514
dc.identifier10.1080/03610910802618385
dc.identifierhttp://dx.doi.org/10.1080/03610910802618385
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627153
dc.description.abstractInfluence diagnostics methods are extended in this article to the Grubbs model when the unknown quantity x (latent variable) follows a skew-normal distribution. Diagnostic measures are derived from the case-deletion approach and the local influence approach under several perturbation schemes. The observed information matrix to the postulated model and Delta matrices to the corresponding perturbed models are derived. Results obtained for one real data set are reported, illustrating the usefulness of the proposed methodology.
dc.languageeng
dc.publisherTAYLOR & FRANCIS INC
dc.relationCommunications in Statistics-simulation and Computation
dc.rightsCopyright TAYLOR & FRANCIS INC
dc.rightsrestrictedAccess
dc.subjectEM-algorithm
dc.subjectGrubbs model
dc.subjectLocal influence
dc.subjectSkew-normal
dc.titleInfluence Diagnostics for a Skew Extension of the Grubbs Measurement Error Model
dc.typeArtículos de revistas


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