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Hierarchical Modelling for the Environmental Sciences - Statistical methods and applications (Paperback)
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Hierarchical Modelling for the Environmental Sciences - Statistical methods and applications (Paperback)
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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 anyalsis provide consistent 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
requirement for a clear exposition of the methodology through to
application for a range of environmental challenges.
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