Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data

Sanchez, Luis; Galea, Manuel

Abstract

In the present paper, a novel spatial quantile regression model based on the Birnbaum-Saunders distribution is formulated. This distribution has been widely studied and applied in many fields. To formulate such a spatial model, a parameterization of the multivariate Birnbaum-Saunders distribution, where one of its parameters is associated with the quantile of the respective marginal distribution, is established. The model parameters are estimated by the maximum likelihood method. Finally, a data set is applied for illustrating the formulated model.

Más información

Título según WOS: Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data
Título según SCOPUS: Birnbaum-Saunders quantile regression models with application to spatial data
Título de la Revista: Mathematics
Volumen: 8
Número: 6
Editorial: Multidisciplinary Digital Publishing Institute (MDPI)
Fecha de publicación: 2020
Idioma: English
DOI:

10.3390/MATH8061000

Notas: ISI, SCOPUS