Bayesian Population Analysis Using Winbugs: A Hierarchical Perspective - Brossura

Kery, Marc; Schaub, Michael

Brossura

ISBN 10: 0123870208 ISBN 13: 9780123870209

Casa editrice: Academic Pr, 2011

Riassunto

Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics.

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Informazioni sugli autori

Dr. Marc Kéry is a senior scientist at the Swiss Ornithological Institute, a non-profit NGO with about 200 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the universities of Basel and Zürich, Switzerland. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, USA, he moved into animal population ecology and during the last 25 years has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and applied statistics. He has published more than 150 peer-reviewed journal articles and six textbooks on applied statistical modeling. He has taught more than 60 one-week workshops all over the world to biologists and wildlife managers about the concepts and practice of modern statistical analysis in their fields, something which goes together with his books, which target the same audiences.

Dr. Michael Schaub is a senior scientist and head of the population biology research group at the Swiss Ornithological Institute, and a courtesy professor at the University of Bern, Switzerland.

Michael was trained as an animal population ecologist at the universities of Basel and Zürich. After a 1-year postdoc at the Centre National de la Rechereche Scientifique (CNRS) in Montpellier, France, he jointed the Swiss Ornithological Institute. His research interests include population dynamics, capture-recapture models, integrated population models, and migratory birds. He has coauthored approximately 170 peer-reviewed journal publications and the two books on applied Bayesian modeling for ecologists and has taught about 30 week-long workshops all over the world.

Dalla quarta di copertina

Bayesian Population Analysis using WinBUGS is an introduction to the analysis of distribution, abundance, and population dynamics of animals and plants using hierarchical models implemented in the leading Bayesian software WinBUGS. It will be of interest to quantitative scientists working in the fields of population ecology, conservation biology, evolutionary biology, population management, disease ecology, fisheries or wildlife biology. The accessible text is ideal for self-study and advanced graduate-level courses.

This book:

• Is a statistical modeling book written by ecologists for ecologists
• Contains analyses of simulated data, along with fully commented R code for the generation of these data sets, as well as analyses of real data
• Fully integrates with program R—all analyses are conducted by calling WinBUGS from R
• Illustrates the tremendous modeling freedom given to ecologists when using the simple and flexible BUGS language

Marc Kéry and Michael Schaub are population ecologists with the Swiss Ornithological Institute. Together, they have authored over 120 peer-reviewed journal articles on a wide range of topics, including the analysis of large-scale monitoring programs, demographic population analyses, experimental design for animal and plant surveys, and the population ecology of rare species, as well as Introduction to WinBUGS for Ecologists (Academic Press, 2010).

Dettagli dell'edizione

• Editore: Academic Pr
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0123870208
• ISBN 13: 9780123870209
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 535
• Contatto del produttore: non disponibile
• Persona responsabile: Barbara Criscuolo; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; 20141; Italia