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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 |
| Publicado: |
Oxford University Press
2006
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2277845 |
| _version_ | 1780955326975049728 |
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| author | Clark, James S Gelfand, Alan E |
| author_facet | Clark, James S Gelfand, Alan E |
| author_sort | Clark, James S |
| collection | CERN |
| description | 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 complicated, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. |
| id | cern-2277845 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2006 |
| publisher | Oxford University Press |
| record_format | invenio |
| spelling | cern-22778452021-04-21T19:07:36Zhttp://cds.cern.ch/record/2277845engClark, James SGelfand, Alan EHierarchical modelling for the environmental sciences: statistical methods and applicationsMathematical Physics and MathematicsNew 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 complicated, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences.Oxford University Pressoai:cds.cern.ch:22778452006 |
| spellingShingle | Mathematical Physics and Mathematics Clark, James S Gelfand, Alan E Hierarchical modelling for the environmental sciences: statistical methods and applications |
| title | Hierarchical modelling for the environmental sciences: statistical methods and applications |
| title_full | Hierarchical modelling for the environmental sciences: statistical methods and applications |
| title_fullStr | Hierarchical modelling for the environmental sciences: statistical methods and applications |
| title_full_unstemmed | Hierarchical modelling for the environmental sciences: statistical methods and applications |
| title_short | Hierarchical modelling for the environmental sciences: statistical methods and applications |
| title_sort | hierarchical modelling for the environmental sciences: statistical methods and applications |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/2277845 |
| work_keys_str_mv | AT clarkjamess hierarchicalmodellingfortheenvironmentalsciencesstatisticalmethodsandapplications AT gelfandalane hierarchicalmodellingfortheenvironmentalsciencesstatisticalmethodsandapplications |