Artículos de revistas
A log-Birnbaum-Saunders regression model with asymmetric errors
Fecha
2012Registro en:
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, ABINGDON, v. 82, n. 12, supl. 4, Part 1-2, pp. 1775-1787, APR 1, 2012
0094-9655
10.1080/00949655.2011.595715
Autor
Lemonte, Artur J.
Institución
Resumen
This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air pollution, Comm. Statist. Theory Methods 39 (2010), pp. 426-443]. Some influence methods, such as the local influence and generalized leverage, are presented. Additionally, we derived the normal curvatures of local influence under some perturbation schemes. An empirical application to a real data set is presented in order to illustrate the usefulness of the proposed model.