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|a Hierarchical modelling for the environmental sciences :
|b statistical methods and applications /
|c edited by James S. Clark and Alan E. Gelfand.
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|a Hierarchical modeling fore the environmental sciences
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|a Oxford ;
|a New York :
|b Oxford University Press,
|c 2006.
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300 |
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|a 1 online resource (ix, 205 pages) :
|b illustrations
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|a text
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|a Oxford biology
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|a Includes bibliographical references (pages 185-195) and index.
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|a Part I. Introduction to hierarchical modeling -- Elements of hierarchical Bayesian inference / Bradley P. Carlin, James S. Clark, and Alan E. Gelfand -- Bayesian hierarchical models in geographical genetics / Kent E. Holsinger -- Part II. Hierarchical models in experimental settings -- Synthesizing ecological experiments and observational data with hierarchical Bayes / James S. Clark and Shannon LaDeau -- Effects of global change on inflorescence production: a Bayesian hierarchical analysis / Janneke Hille Ris Lambers, Brian Aukema, Jeff Diez, Margaret Evans, and Andrew Latimer -- Part II. Spatial modeling -- Building statistical models to analyze species distributions / Alan E. Gelfand, Andrew Latimer, Shanshan Wu, and John A Silander, Jr -- Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis / Kiona Ogle, María Uriarte, Jill Thompson, Jill Johnstone, Andy Jones, Yiching Lin, Eliot J.B. McIntire, and Jess K. Zimmerman -- Part IV. Spatio-temporal modeling -- Spatial-temporal statistical modeling and prediction of environmental processes / Li Chen, Montserrat Fuentes, and Jerry M. Davis -- Hierarchical Bayesian spatio-temporal models for population spread / Christopher K. Wikle and Mevin B. Hooten -- Spatial models for the distribution of extremes / Eric Gilleland, Douglas Nychka and Uli Schneider.
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|a Print version record.
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520 |
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|a ' ... if you are already quite well acquainted with Bayesian concepts and terminology then this book should provide an excellent guide to the application of these advanced statistical techniques within ecology.' Justin Travis, Bulletin of the British Ecological Society 2007 38:1 -
|
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|a eBooks on EBSCOhost
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|a Bayesian statistical decision theory.
|
650 |
|
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|a Multilevel models (Statistics)
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|a Mathematical statistics
|x Data processing.
|
650 |
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|a Environmental sciences
|x Statistical methods.
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|a Théorie de la décision bayésienne.
|
650 |
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|a Modèles multiniveaux (Statistique)
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650 |
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|a Statistique mathématique
|x Informatique.
|
650 |
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6 |
|a Sciences de l'environnement
|x Méthodes statistiques.
|
650 |
|
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|a SCIENCE
|x Environmental Science (see also Chemistry
|x Environmental)
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|a Bayesian statistical decision theory
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|a Environmental sciences
|x Statistical methods
|2 fast
|
650 |
|
7 |
|a Mathematical statistics
|x Data processing
|2 fast
|
650 |
|
7 |
|a Multilevel models (Statistics)
|2 fast
|
700 |
1 |
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|a Clark, James Samuel,
|d 1957-
|
700 |
1 |
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|a Gelfand, Alan E.,
|d 1945-
|
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|i Print version:
|t Hierarchical modelling for the environmental sciences.
|d Oxford ; New York : Oxford University Press, 2006
|z 9780198569664
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