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Bayesian Population Analysis Using WinBUGS : A Hierarchical Perspective by Michael Schaub and Marc Kéry (2011, Trade Paperback)
Aspen Book Co (16197)
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About this product
Product Identifiers
PublisherElsevier Science & Technology
ISBN-100123870208
ISBN-139780123870209
eBay Product ID (ePID)150640302
Product Key Features
Number of Pages554 Pages
Publication NameBayesian Population Analysis Using Winbugs : a Hierarchical Perspective
LanguageEnglish
SubjectLife Sciences / Ecology, Life Sciences / Biology, Probability & Statistics / Bayesian Analysis
Publication Year2011
TypeTextbook
AuthorMichael Schaub, Marc Kéry
Subject AreaMathematics, Science
FormatTrade Paperback
Dimensions
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2011-029641
Dewey Edition23
Dewey Decimal577.8/80285
Table Of Content1. Introduction 2. Very brief introduction to Bayesian statistical modeling 3. Introduction to the generalized linear model (GLM): The simplest model for count data 4. Introduction to random effects: The conventional Poisson GLMM for count data 5. State-space models 6. Estimation of population size 7. Estimation of survival probabilities using capture-recapture data 8. Estimation of survival probabilities using mark-recovery data 9. Multistate capture-recapture models 10. Estimation of survival and recruitment using the Jolly-Seber model 11. Integrated population models 12. Metapopulation modeling of abundance using hierarchical Poisson regression 13. Metapopulation modeling of species distributions using hierarchical logistic regression 14. Concluding remarks
SynopsisBayesian 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. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R, 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.
LC Classification NumberQH352
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