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Beschreibung
Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA).
Classical kriging and INLA
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 11. Mai 2017 |
| Maße | 22 cm x 15 cm x 0.4 cm |
| Gewicht | 96 Gramm |
| Format | Softcover |
| ISBN-13 | 9783330075719 |
| Seiten | 52 |
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