Artículos de revistas
Likelihood-based Inference For Multivariate Skew-normal Regression Models
Registro en:
Communications In Statistics - Theory And Methods. , v. 36, n. 9, p. 1769 - 1786, 2007.
3610926
10.1080/03610920601126241
2-s2.0-34547251833
Autor
Lachos V.H.
Bolfarine H.
Arellano-Valle R.B.
Montenegro L.C.
Institución
Resumen
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. 36 9 1769 1786 Aoki, R., Bolfarine, H., Achcar, J.A., Dorival, L.P., Bayesian analysis of a multivariate null intercept measurement error regression model (2003) J. Biopharmaceut. Statist, 13, pp. 767-775 Arellano-Valle, R.B., Azzalini, A., On the unification of families of skew-normal distributions (2006) Scand. J. Statist, , In press Arellano-Valle, R.B., Bolfarine, H., Lachos, V.H., Skew-normal linear mixed models (2005) J. Data Sci, 3, pp. 415-438 Arellano-Valle, R.B., Genton, M.G., Fundamental skew distributions (2005) J. 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