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.
Original language | English |
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Article number | 1000 |
Pages (from-to) | 1000 |
Number of pages | 1 |
Journal | Mathematics |
Volume | 8 |
Issue number | 6 |
DOIs | |
State | Published - 1 Jun 2020 |
Keywords
- Data analytics
- Geostatistical models
- Maximum likelihood method
- Multivariate distributions
- R software
- Statistical parameterizations