Hierarchical Modelling for the Environmental Sciences | Zookal Textbooks | Zookal Textbooks
  • Author(s) James S. Clark / Alan E. Gelfand
  • SubtitleStatistical Methods and Applications
  • Edition
  • Published1st May 2006
  • PublisherOxford University Press UK
  • ISBN9780198569671

Statistical Methods and Applications

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 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.

Hierarchical Modelling for the Environmental Sciences

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  • Author(s) James S. Clark / Alan E. Gelfand
  • SubtitleStatistical Methods and Applications
  • Edition
  • Published1st May 2006
  • PublisherOxford University Press UK
  • ISBN9780198569671

Statistical Methods and Applications

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 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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