Bayesian Analysis for Population Ecology

Informationen zum Autor Ruth King is a reader in statistics at the University of St. Andrews and a former EPSRC post-doctoral Research Fellow. Byron J.T. Morgan is a professor of applied statistics at the University of Kent and co-director of the EPSRC National Centre for Statistical Ecology. Olivier Gimenez is a research scientist in biostatistics at CNRS and a former Marie Curie research fellow. Stephen P. Brooks is director of research at ATASS Ltd and a former professor of statistics at the University of Cambridge and EPSRC Advanced Fellow. Klappentext Modern Bayesian methods have an important role to play in population ecology. Statistical methods for the analysis of mark-recapture-recovery data on wild animals continue to develop in response to the availability of long-term data sets and advances in animal marking and tracking techniques. Bringing together top experts in the field, this book presents up-to-date Bayesian procedures in an accessible manner, illustrated by a wide range of real examples and complemented by accessible computer programs. The authors include WinBUGS and R code for all of the analyses that are performed in the text. Zusammenfassung Emphasizing model choice and model averaging, this book presents Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. It includes descriptions of methods that deal with covariate data and covers techniques at the forefront of research. Inhaltsverzeichnis Introduction to Statistical Analysis of Ecological Data. Bayesian Techniques and Tools. Ecological Applications. Appendices. References. Index.

Détails du produit

• Auteurs: Steve Brooks, Brooks Steve, Olivier Gimenez, Gimenez Olivier, Ruth King, Ruth Morgan King, King Ruth, Byron Morgan, Morgan Byron
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 30.10.2009
• EAN: 9781439811870
• ISBN: 978-1-4398-1187-0
• Pages: 456
• Thème: Chapman & Hall/CRC Interdisciplinary Statistics
• Catégories: Sciences naturelles, médecine, informatique, technique > Biologie > Ecologie; NATURE / Ecology, MATHEMATICS / Probability & Statistics / General, Biodiversity, Botany & plant sciences, Geochemistry, Botany and plant sciences, Biodiversity / Ecosystems