Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data
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 de la Revista: | MATHEMATICS |
Volumen: | 8 |
Número: | 6 |
Editorial: | MDPI |
Fecha de publicación: | 2020 |
DOI: |
10.3390/MATH8061000 |
Notas: | ISI |