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Hierarchical modelling for the environmental sciences: statistical methods and applications
New statistical tools are changing the way in which scientists analyze and interpret data and models. Hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide a consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are compl...
| Autores principales: | , |
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| Lenguaje: | eng |
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Oxford University Press
2006
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| Acceso en línea: | http://cds.cern.ch/record/2277845 |