Journal
MATHEMATICS
Volume 8, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/math8061000
Keywords
data analytics; geostatistical models; maximum likelihood method; multivariate distributions; R software; statistical parameterizations
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Funding
- National Commission for Scientific and Technological Research of the Chilean government [FONDECYT 1200525]
- Research Directorate of the Vice President for Research of the Pontificia Universidad Catolica de Chile, Chile [Puente 001/2019]
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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.
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