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Hierarchical modelling for the environmental sciences : statistical methods and applications

Author: James Samuel Clark; Alan E Gelfand
Publisher: Oxford ; New York : Oxford University Press, 2006.
Series: Oxford biology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
' ... 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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Genre/Form: Electronic books
Additional Physical Format: Print version:
Hierarchical modelling for the environmental sciences.
Oxford ; New York : Oxford University Press, 2006
(DLC) 2005030159
(OCoLC)62118339
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James Samuel Clark; Alan E Gelfand
ISBN: 9780191513848 0191513849 9781429470438 1429470437 9786610904051 6610904057
OCLC Number: 137241950
Description: 1 online resource (ix, 205 pages) : illustrations.
Contents: 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.
Series Title: Oxford biology.
Other Titles: Hierarchical modeling fore the environmental sciences
Responsibility: edited by James S. Clark and Alan E. Gelfand.

Abstract:

Statistical tools are changing the ways in which scientists analyze and interpret data and models. This book provides consistent framework for inference and prediction where information is  Read more...

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