Hierarchical Modelling for the Environmental Sciences Statistical Methods and Applications

Name: Hierarchical Modelling for the Environmental Sciences Statistical Methods and Applications
Price: 48.75 USD
Availability: InStock
ISBN: 9780198569671

ISBN-10: 019856967X

ISBN-13: 9780198569671

Edition: 2006

Authors: James S. Clark, Alan Gelfand

List price: $93.00

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New statistical tools are changing the ways 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 consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are thesemethods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to application for a range of environmental…

Book details

List price: $93.00
Copyright year: 2006
Publisher: Oxford University Press, Incorporated
Publication date: 6/29/2006
Binding: Paperback
Pages: 216
Size: 7.44" wide x 9.69" long x 0.46" tall
Weight: 1.078
Language: English



Preface


Contributors



Introduction to hierarchical modeling



Elements of hierarchical Bayesian inference




Bayesian hierarchical models in geographical genetics




Hierarchical models in experimental settings



Synthesizing ecological experiments and observational data with hierarchical Bayes




Effects of global change on inflorescence production: a Bayesian hierarchical analysis




Spatial modeling



Building statistical models to analyze species distributions




Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis




Spatio-temporal modeling



Spatial-temporal statistical modeling and prediction of environmental processes




Hierarchical Bayesian spatio-temporal models for population spread




Spatial models for the distribution of extremes



References


Index