Hierarchical Modelling for the Environmental Sciences - Statistical methods and applications (Paperback)

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.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Release date:	May 2006
First published:	June 2006
Editors:	James S. Clark • Alan E. Gelfand
Dimensions:	246 x 189 x 12mm (L x W x T)
Format:	Paperback
Pages:	216
ISBN-13:	978-0-19-856967-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	0-19-856967-X
Barcode:	9780198569671

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