Generalized skew-normal models: properties and inference
Abstract
In this article, we introduce a new family of asymmetric distributions, which depends on two parameters namely, α and β, and in the special case where β = 0, the skew-normal (SN) distribution considered by Azzallini [Azzalini, A., 1985, A class of distributions which includes the normal ones. Scandinavian Journal of Statistics, 12, 171-178.] is obtained. Basic properties such as a stochastic representation and the derivation of maximum likelihood and moment estimators are studied. The asymptotic behaviour of both types of estimators is also investigated. Results of a small-scale simulation study is provided illustrating the usefulness of the new model. An application to a real data set is reported showing that it can present better fit than the SN distribution.
Más información
Título según WOS: | Generalized skew-normal models: properties and inference |
Título según SCOPUS: | Generalized skew-normal models: Properties and inference |
Título de la Revista: | STATISTICS |
Volumen: | 40 |
Número: | 6 |
Editorial: | TAYLOR & FRANCIS LTD |
Fecha de publicación: | 2006 |
Página de inicio: | 495 |
Página final: | 505 |
Idioma: | English |
URL: | http://www.tandfonline.com/doi/abs/10.1080/02331880600723168 |
DOI: |
10.1080/02331880600723168 |
Notas: | ISI, SCOPUS |