Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression
Data with spatial dependence are often modeled by geoestatistical tools. In spatial regression, the mean response is described using explanatory variables with georeferenced data. This modeling frequently considers Gaussianity assuming the response follows a symmetric distribution. However, when thi...
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Veröffentlicht in: | Stochastic environmental research and risk assessment 2020-10, Vol.34 (10), p.1457-1471 |
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Format: | Artikel |
Sprache: | eng |
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