Abstract
Assessing the significance of the correlation between the components of a bivariate random field is of great interest in the analysis of spatial-spatial data. In this chapter, testing the association between two georeferenced correlated variables is addressed for the components of a bivariate Gaussian random field using the asymptotic distribution of the ML estimator of a general parametric class of bivariate covariance models.
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Vallejos, R., Osorio, F., Bevilacqua, M. (2020). A Parametric Test Based on Maximum Likelihood. In: Spatial Relationships Between Two Georeferenced Variables . Springer, Cham. https://doi.org/10.1007/978-3-030-56681-4_3
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DOI: https://doi.org/10.1007/978-3-030-56681-4_3
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