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 |