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Type: Artigo
Title: Influence diagnostics for a skew extension of the grubbs measurement error model
Author: Montenegro, Lourdes C.
Bolfarine, Heleno
Lachos, Victor H.
Abstract: Influence 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
Subject: Modelo de Grubbs
Country: Estados Unidos
Editor: Taylor & Francis
Rights: Fechado
Identifier DOI: 10.1080/03610910802618385
Date Issue: 2009
Appears in Collections:IMECC - Artigos e Outros Documentos

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