Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104773
Type: Artigo de periódico
Title: Likelihood-based Inference For Multivariate Skew-normal Regression Models
Author: Lachos V.H.
Bolfarine H.
Arellano-Valle R.B.
Montenegro L.C.
Abstract: In this article, we present EM algorithms for performing maximum likelihood estimation for three multivariate skew-normal regression models of considerable practical interest. We also consider the restricted estimation of the parameters of certain important special cases of two models. The methodology developed is applied in the analysis of longitudinal data on dental plaque and cholesterol levels.
Editor: 
Rights: fechado
Identifier DOI: 10.1080/03610920601126241
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-34547251833&partnerID=40&md5=5f9c1ad43554c673aff789a85321c3f4
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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