Generalized skew-normal models: properties and inference

Gomez, HW; Salinas, HS; Bolfarine, H

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