Hierarchical modelling for the environmental sciences
statistical methods and applications
by James Samuel Clark and Alan E. Gelfand
New Statistical tools are changing the wau in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide constant framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirment for a clear exposition of the methodology through to application for a range of environmental challenges.
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Subjects
Statistical methods, Mathematical statistics, Environmental sciences, Data processing, Bayesian statistical decision theory, Multilevel models (Statistics), Statistique bayésienne, Modèles multiniveaux (Statistique), Statistique mathématique, Informatique, Sciences de l'environnement, Méthodes statistiques, Datenverarbeitung, Modellierung, Statistische Entscheidungstheorie, Umweltwissenschaften, Statistik| Edition | Availability |
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Computational statistics: hierarchical Bayes and MCMC methods in the environmental sciences
2006, Oxford University Press
in English
0198569661 9780198569664
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Hierarchical modelling for the environmental sciences: statistical methods and applications
2006, Oxford University Press
in English
0198569661 9780198569664
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Hierarchical Modelling for the Environmental Sciences
June 12, 2006, Oxford University Press, USA
in English
0198569661 9780198569664
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HIERARCHICAL MODELLING FOR THE ENVIRONMENTAL SCIENCES: STATISTICAL METHODS AND...; ED. BY JAMES S. CLARK.
Publish date unknown, OXFORD UNIVERSITY PRESS
in Undetermined
019856967X 9780198569671
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Book Details
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Includes bibliographical references (p. 185-195) and index
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- Created September 28, 2008
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| March 28, 2025 | Edited by ImportBot | Redacting ocaids |
| October 1, 2024 | Edited by MARC Bot | import existing book |
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