Likelihood-based inference for multivariate skew-normal regression models
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 |