Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/348072
Type: Artigo
Title: Inference for a skew extension of the Grubbs model
Author: Montenegro, Lourdes C.
Lachos, Víctor H.
Bolfarine, Heleno
Abstract: In this paper, we discuss inferential aspects for the Grubbs model when the unknown quantity x (latent response) follows a skew-normal distribution, extending early results given in Arellano-Valle et al. (J Multivar Anal 96:265–281, 2005b). Maximum likelihood parameter estimates are computed via the EM-algorithm. Wald and likelihood ratio type statistics are used for hypothesis testing and we explain the apparent failure of the Wald statistics in detecting skewness via the profile likelihood function. The results and methods developed in this paper are illustrated with a numerical example
Subject: Distribuição normal assimétrica
Country: Alemanha
Editor: Springer
Rights: Fechado
Identifier DOI: 10.1007/s00362-008-0157-9
Address: https://link.springer.com/article/10.1007%2Fs00362-008-0157-9
Date Issue: 2010
Appears in Collections:IMECC - Artigos e Outros Documentos

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