Computational statistics

hierarchical Bayes and MCMC methods in the environmental sciences

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Last edited by MARC Bot
July 30, 2019 | History

Computational statistics

hierarchical Bayes and MCMC methods in the environmental sciences

New Statistical tools are changing the wau 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 constant 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 requirment for a clear exposition of the methodology through to application for a range of environmental challenges.

Publish Date
Language
English

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Edition Availability
Cover of: Hierarchical Modelling for the Environmental Sciences
Hierarchical Modelling for the Environmental Sciences
June 12, 2006, Oxford University Press, USA
in English
Cover of: Computational statistics
Computational statistics: hierarchical Bayes and MCMC methods in the environmental sciences
2006, Oxford University Press
in English
Cover of: Hierarchical modelling for the environmental sciences
Hierarchical modelling for the environmental sciences: statistical methods and applications
2006, Oxford University Press
in English
Cover of: HIERARCHICAL MODELLING FOR THE ENVIRONMENTAL SCIENCES: STATISTICAL METHODS AND...; ED. BY JAMES S. CLARK.
HIERARCHICAL MODELLING FOR THE ENVIRONMENTAL SCIENCES: STATISTICAL METHODS AND...; ED. BY JAMES S. CLARK.
Publish date unknown, OXFORD UNIVERSITY PRESS
in Undetermined

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Book Details


Edition Notes

Includes bibliographical references.

Published in
New York

Classifications

Dewey Decimal Class
577.01/519542
Library of Congress
QA279.5 .C647 2006

The Physical Object

Pagination
p. cm.

Edition Identifiers

Open Library
OL3414008M
ISBN 10
0198569661, 019856967X
ISBN 13
9780198569664, 9780198569671
LCCN
2005030159
LibraryThing
4349292
Goodreads
1265882

Work Identifiers

Work ID
OL18208048W

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
July 30, 2019 Edited by MARC Bot associate edition with work OL18208048W
August 2, 2010 Edited by IdentifierBot added LibraryThing ID
April 24, 2010 Edited by Open Library Bot Fix duplicate goodreads IDs.
April 16, 2010 Edited by bgimpertBot Added goodreads ID.
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record