Likelihood-based inference for multivariate skew-normal regression models

Lachos, VH; Bolfarine, H; Arellano-Valle, RB; Montenegro, LC

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.

Más información

Título según WOS: Likelihood-based inference for multivariate skew-normal regression models
Título según SCOPUS: Likelihood-based inference for multivariate skew-normal regression models
Título de la Revista: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Volumen: 36
Número: 09-dic
Editorial: TAYLOR & FRANCIS INC
Fecha de publicación: 2007
Página de inicio: 1769
Página final: 1786
Idioma: English
URL: http://www.tandfonline.com/doi/abs/10.1080/03610920601126241
DOI:

10.1080/03610920601126241

Notas: ISI, SCOPUS