
Hierarchical Modelling for the Environmental Sciences
Hierarchical Bayes and MCMC Methods in the Environmental Sciences
Oxford University Press
Published on 1. May 2006
Book
Hardback
216 pages
978-0-19-856966-4 (ISBN)
Description
Reviews / Votes
'...if you are already quite well acquainted with Bayesian concepts and terminology then this book should provide an excellent guide to the application of these advanced statistical techniques within ecology.' Justin Travis, Bulletin of the British Ecological Society 2007 38:1More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Illustrations
tab., 73 Zeichnungen
73 line drawings, tables
Dimensions
Height: 246 mm
Width: 189 mm
ISBN-13
978-0-19-856966-4 (9780198569664)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Editor
, Nicholas School of the Environment, Duke University, USA
, Institute of Statistics and Decision Sciences, Duke University, USA
Content
Preface; PART I. INTRODUCTION TO HIERARCHICAL MODELING; 1. Elements of hierarchical Bayesian influence; 2. Bayesian hierarchical models in geographical genetics; PART II. HIERARCHICAL MODELS IN EXPERIMENTAL SETTINGS; 3. Synthesizing ecological experiments and observational data with hierarchical Bayes; 4. Effects of global change on inflorescence production: a Bayesian hierarchical analysis; PART III. SPATIAL MODELING; 5. Building statistical models to analyse species distributions; 6. Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis; PART IV. SPATIO-TEMPORAL MODELING; 7. Spatial temporal statistical modeling and prediction of environmental processes; 8. Hierarchical Bayesian spatio-temporal models for population spread; 9. Spatial models for the distribution of extremes; References; Index