Birnbaum-Saunders statistical modelling: A new approach

Víctor Leiva, Manoel Santos-Neto, Francisco José A. Cysneiros, Michelli Barros

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

62 Citas (Scopus)

Resumen

Modelling based on the Birnbaum-Saunders distribution has received considerable attention in recent years. In this article, we introduce a new approach for Birnbaum-Saunders regression models, which allows us to analyze data in their original scale and to model non-constant variance. In addition, we propose four types of residuals for these models and conduct a simulation study to establish which of them has a better performance. Moreover, we develop methods of local influence by calculating the normal curvatures under different perturbation schemes. Finally, we perform a statistical analysis with real data by using the approach proposed in the article. This analysis shows the potentiality of our proposal.

Idioma originalInglés
Páginas (desde-hasta)21-48
Número de páginas28
PublicaciónStatistical Modelling
Volumen14
N.º1
DOI
EstadoPublicada - feb. 2014
Publicado de forma externa

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